Biographies

  • Francis Chemorion
    Francis Chemorion

    Francis Chemorion is the Early Stage Researcher 1 - PhD candidate in the European Project "Disc4All". He is ensuring collection of data from large data infrastructures, curating it with secondary data from models and simulations to come up with a robust integrated model which will be the basis of a central repository for the project with secured remote access and a comprehensive Data Governance framework. He is passionate about data and its use in powering innovation in research. He designs & develops modern enterprise data architectures by leveraging business intelligence tools, big data tools and creative problem solving. He develops software and systems that enable clients to surface information from their systems and draw insights that drive decision making.

  • Dimitrios Lialios
    Dimitrios Lialios

    Dimitrios Lialios is the Early Stage Researcher 2 – PhD candidate in the European Project “Disc4All”. He graduated from the Aristotle University of Thessaloniki with a Diploma in Mechanical Engineering and specialization in computational methods in structural analysis. His current position is based in Barcelona Supercomputing Center (BSC). His research revolves around the computational aspects of simulating an Intervertebral Disc (IVD). From the development of a poro-visco-hyperelastic numerical model that can run on Alya, BSC’s finite element solver, to the development of an Agent Based (AB) solver that simulates the expression of proteins related to IVD degeneration and finally, their coupling over simulating a highly accurate in-silico model of the IVD. All the applications are optimized for High Performance Computing (HPC).

  • Maria Paola Ferri
    Maria Paola Ferri

    Maria Paola Ferri is the Early Stage Researcher 3 - PhD candidate in the European Project "Disc4All". She graduated in 2018 in Biotechnologies, from the University of Rome La Sapienza, and in 2021 she obtained the Internation Master degree in Bioinformatics from the Alma Mater University of Bolumn. Her master thesis was focused on the creation of Cloud architectures designed to support and instantiate Bioinformatics applications, curing the portability and the user-friendly access to them. Right now, she is holding a position in the Life Science's Department at the BSC (Barcelona Supercomputing Center). Her role in the Disc4All project would be to extend the implementation of the IDD identification and prediction software in development into a Cloud and HPC environment, so to create in the end a portable and ready-to-use front-end workflow in the LBP (low back pain) investigation, for user and non-experts.

  • Terence McSweeney
    Terence McSweeney

    Terence McSweeney is the Early Stage Researcher 4 - PhD candidate. He trained originally as an osteopath at the British College of Osteopathic Medicine and went on to lecture there and at Swansea University. He received a MSc in Pain Management from the University of Edinburgh and a PGCert in Teaching in HE from Swansea University. As an osteopath he has worked in a wide range of clinical settings including the NHS in the UK and private practice in Bahrain. Now he has returned to academia full time as an Early Stage Researcher with Disc4All at the University of Oulu, Finland. His research uses deep learning and multi-omics approaches to tackle the interpretation of imaging data in intervertebral disc degeneration.

  • Sai Natarajan
    Sai Natarajan

    Sai Natarajan is the Early Stage Researcher 5 - Ph.D. candidate in the Disc4All European Project. He graduated in 2019 with a degree in Integrated Masters in Computer Applications from SSSIHL, India. Soon after, he started working as an independent researcher in the areas of image segmentation and generative modeling at Zentralklinik, Germany where he developed tools for understanding shape variations and structural changes in the Lumbar Spine. His current position is based at 3D-Shaper Medical and also at the University of Pompeu Fabra. His main focus of research areas include deep learning-based subject-specific segmentation and 2D-3D reconstruction of shape from single-view images. Reconstruction of the vertebral and disc bodies could lead to the finite element analysis for disc degeneration.

  • Roger Compte Boixader
    Roger Compte Boixader

    Roger Compte Boixader is the Early Stage Researcher 6 - PhD candidate. He studied a Biotechnology BSc and a Bioengineering MSc at Insitute Quimic de Sarrià (IQS) at Ramon Llull University in Barcelona. He undertook a MSc thesis at Massachusetts Institute of Technology (MIT) in Boston where he developed methodologies to study osteoarthritic knee cartilage function recovery from mechanical stimuli and the administration of medication. He joined Disc4All with the aim to assemble and further improve his skills. He looks forward to contributing to Disc4All by analysing the relationship of the gut microbiome and host genetics with disc degeneration through data driven approaches.

  • Andrea Nüesch
    Andrea Nüesch

    Andrea Nüesch is the Early-Stage Researcher 7 – PhD candidate in the European Project “Disc4all”. Andrea graduated at the Swiss Federal Institute of Technology in Zurich (ETH Zurich) with a bachelor’s degree in Health Sciences and Technology, followed by a master’s degree in 2021 with focus on medical technology. For her master’s thesis, she joined the AO Research Institute Davos, where she was part of the group for Intervertebral Disc Regeneration where she investigated the influence of the secretome of primed mesenchymal stromal cells on Interleukin (IL) -1 stimulated Nucleus Pulposus cells. Currently, Andrea is based in the Biomolecular Sciences Research Centre (BMRC) at the Sheffield Hallam University, United Kingdom. The focus of her research is the experimental exploration of the microbiome in degenerated intervertebral discs.

  • Francesco Gualdi
    Francesco Gualdi

    Francesco Gualdi is the Early Stage Researcher 8 - PhD candidate in the European Project “Disc4All”. He completed his bachelor's degree in Biological Sciences at the University of Ferrara with a thesis focused on the characterization of cells coming from intervertebral disc (IVD). He graduated with honors from the University of Verona in 2021 with an M.Sc. in molecular and medical biotechnology. In parallel to his academic career, he had many working experiences as employee and teacher. His Disc4all Project aims to prioritize genes involved in Lumbar Disc Degeneration and to organize the amount of genetic information related to disc degeneration and its comorbidities to better understand its genetic basis and possibly to identify new biomarkers and therapeutic approaches to the disease.

  • Paola Bermudez-Lekerika
    Paola Bermudez-Lekerika

    Paola Bermudez-Lekerika is the Early Stage Researcher 9 - PhD candidate in the European Project "Disc4All". She graduated from the University of Navarra with a Bachelor's Degree in Chemistry (2017) and Biochemisty (2019). Afterwards, she obtained her Master's Degree in Biomedical Research with a speciality in Regenerative Medicine and Advanced Therapies. Her current position is based in Tissue Engineering for Orthopaedics & Mechanobiology Lab, Department of Biomedical Research (DBMR), University of Bern. Her research focuses on understanding the key catabolic phenotypes involved in Intervertebral Disc Degeneration (IDD) and identifying in silico potential gene variants associated with this disease. Identification of these phenotypes and genetic variants could lead to a better understanding of IDD.

  • Exarchos Kanelis
    Exarchos Kanelis

    Exarchos Kanelis is the Early Stage Researcher – 11, a PhD candidate in the Project “Disc4all”, which uses Intervertebral disc degeneration as a case study for forming a novel approach on how multifactorial disorders could be addressed. He has a BSc in “Molecular Biology & Genetics” from Democritus University of Thrace and an MSc in “Biotechnology” from the Technical University of Denmark. After his studies, he worked in Oxford - UK for two years gaining experience in assay development for biosensors and DNA/RNA sequencing products. His PhD project will take place in Protatonce, a biotechnology company located in Athens, Greece and is specialised in multiplex assay development & production , biomarker discovery, biomarker performance and compound evaluation. He will be using the Luminex technology for analysing hundreds of intracellular and extracellular proteins in order to identify differences in the proteomic profiles between healthy and LDD cells. He will also use in silico and bioinformatic tools to propose the Cell Signalling Pathways that are activated in LDD and propose mechanism-based biomarkers.

  • Katherine Crump
    Katherine Crump

    Katherine Crump is the Early Stage Researcher 10 - Ph.D. candidate in the European Project "Disc4All". She received her B.S in biomedical engineering at University of Virginia, and then went on to work at a startup and do research at the Auckland Bioengineering Institute before returning to the University of Virginia for her Masters. In her Masters research, she developed a computational model of long-term muscle degeneration in Duchenne muscular dystrophy. With Disc4All, she is very excited to apply her knowledge to combine computational modeling and tissue engineering to improve understanding of the intervertebral disc. The PhD involves an interaction of in silico modeling and evaluating parameters in vitro in organ culture models, such as glucose and lactate concentration, cell survival, and pro-inflammatory cytokines. These models will be evaluated in 3D cell, tissue, and organ cultures involving mechanical stimulation.

  • Ahmad Al Minnawi
    Ahmad Al Minnawi

    Ahmad Alminnawi is the Early Stage Researcher 12 – Ph.D. candidate in the European Project "Disc4All". Graduated with a B.E. in Mechanical Engineering from the Lebanese American University in Lebanon (2018) and with an M.Sc. in Bioengineering from Osaka University in Japan (2021), Ahmad Alminnawi defines himself as an international person with multidisciplinary knowledge and experience. He is currently working as a researcher within a collaboration between Université de Liège and Katholieke Universiteit Leuven in Belgium on the topic of "In vitro and in silico modeling of cartilage endplate degeneration mechanisms" to unravel the source of the largest cause of morbidity worldwide which is lower back pain.

  • Sofia Tseranidou
    Sofia Tseranidou

    Sofia Tseranidou is the Early Stage Researcher 13 - PhD candidate in the European Project “Disc4All”. She obtained her Bachelor’s Degree in Applied Mathematics and Physical Sciences in the National Technical University of Athens (NTUA) in 2017, while at the same time completed her internship in the Onassis Cardiac Centre of Athens as an assistant to the department of the CT. In 2020 she received her Master’s Degree in Computational Biomedical Engineering in the Universitat Pompeu Fabra (UPF). Her thesis focused in the mechanobiology of the intervertebral disc cartilage endplate. She is a member of the Department of Information and Communication Technologies (DTIC) in UPF, and the aim of her research is the multiscale modelling of the mechanism that take part during intervertebral disc regulation. She explores the dynamics of the cell activity and how it contributes to the tissue turnover to specific regions of interest, by modelling and simulating bottom-up processes of tissue regulation. The results might help the biomedical field by enhancing patients’ general well-being suffering from low back pain (LBP).

  • Estefano Muñoz Moya
    Estefano Muñoz Moya

    Estefano Muñoz Moya is the Early Stage Researcher 14 - PhD candidate in the European Project "Disc4All". He has a degree in Engineering Sciences with a mention in Mechanical Engineering (2017), Civil Engineering (2020), and obtained his Master's degree in Mechanical Engineering (2020) from the University of Santiago de Chile. He has dedicated his previous research to two Chilean projects through experimental tests and numerical simulations. His current research focuses on systematizing multiscale modelling of intervertebral disc regularization during degeneration. Molecular/cell and tissue/organ scale models are locally integrated into areas of interest, thus generating an intelligent atlas of simulated data. This will allow the extraction of simulated and real data altogether and the spatio-temporal evolution of degeneration, characterized by specific hierarchies of risk factors and exploitable clinically.

  • NASH
    Narasimharao Kowlagi

    Narasimharao (Nash) Kowlagi is the Early Stage Researcher 15 - Ph.D. candidate affiliated to the University of Oulu for the European Project "Disc4all". He has a bachelor's degree in Computer Science & Engineering and a master's degree in Machine Learning and Artificial Intelligence. Before Disc4all, he was working for Accenture (~15 years) providing digital solutions for clients internationally. With the Disc4all project, he is excited to pursue his passion for AI in Healthcare and aims to apply his expertise in computer vision to study various medical image modalities. His primary research involves patient stratification by combining clinical and MRI (Spine) data using deep learning techniques and the need for psychological assessments for the patients having lower back pain (LBP).

IMPORTANT: To apply for the MSCA Early Carrer Researcher (ESR) Training positions, applicants must fulfil the following criteria:

  • Mobility: to be eligible for a position, you should not have resided in the country of the host institution for more than 12 months over the three years before the starting date of the position, excluding holidays and (refugee status) asylum application.
  • Early Stage Researcher (ESR): At the time of recruitment by the host organisation, an ESR shall be in the first four years (full-time equivalent research experience) of his/her research career and not have been awarded a doctoral degree.

Candidates must prove that they fulfil the aforementioned criteria through relevant documentation (certificates, official statements, residency card…).

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Closed calls

Disc4All will have three recruitment periods. Check the offers by periode and leave your contact if you are interested to apply to forthcoming positions:

Enabling the exploration of Intervertebral Disc (IVD) disease mechanisms in LBP on M&S platform 

ESR 3 will adapt diverse sets of software components & models for transformation into tools, including multiscale AB-FE simulations, image analysis, classification, 3D modelling, text analysis, RN selection & metamodelling; Generate a data- and model-agnostic M&S platform for data and tools integration based on cloud services, including HPC computing capacity; Dockerise & concatenate tools to build complete IVD M&S simulation workflows able to virtually augment input primary data with secondary data;Define frontend for cloud simulations and use by non-experts.

Host: BSC-CNS, Spain – Secondments: ULG; UBern – PhD delivered by: UB (PhD programme in Mathematics and Informatics), Deadline for recruitment: June 2021

Experimental exploration of the microbiome in degenerated IVD

This doctoral research program will investigate the potential role of infective agents and the microbiome in low back pain. Utilising human intervertebral disc samples from surgery the IVD microbiome will be characterised together with associated microbiome sites using high throughput microbiome sequencing. In vitro co-culture systems will then be deployed to investigate the potential roles of infective agents and the microbiome on disc cell behaviour and implications in the pathogenesis of disc degeneration. Culture systems will be utilised which mimic the cellular niche of human intervertebral disc during disc degeneration.

HOST: SHU, United Kingdom – Secondments: UBern; ULG – PhD delivered by: SHU – Deadline for recruitment: June 2021

Federated deep active learning for AI-based interpretation of lumbar MRI in discogenic LBP patients w/ & w/o data virtual enhancement.

Description: In this project, the successful candidate will develop the next generation of Deep Learning methods for automatic and interpretable analysis of lumbar spine MRI data. The PhD thesis will contribute to the Disc4All Project in terms of advanced low back pain patient stratification, and it aims to develop tools, allowing the learning from data with and without annotations, and from different sources (i.e. in a federated learning setup). As we will also develop new ways to interpret low back pain phenotypes our of medical images, both real world and (interpretable) simulation-based data will be progressively integrated, and models will be trained through active learning. Hence, the doctoral student is expected to contribute to progresses in generic machine learning, computer vision and MRI-based interpretable diagnoses for low back pain.

​​HOST: University of Oulu, Finland – Secondments: Plexalis; KCL; UPF, GALGO – PhD delivered by: OULU – Deadline for recruitment: June 2021

Multiscale modelling of IVD cell activity & potential tissue turnover

ESR 13 will work on the multiscale modelling of the mechanisms of intervertebral disc regulation. Specifically, the PhD project will target the modelling and simulation of bottom-up processes of tissue regulation, through which the dynamics of cell activity contributes to disc tissue turnover in specific regions of interest, in response to multifactorial cell stimulations. Different types of intervertebral disc network models will be used and combined to successively incorporate cell culture experimental data, proteomics measurements and gene variant effects. Interplays of biochemical, mechanical and nutritional cell stimulation will be modelled in representative volume elements through agent-based modelling. Eventually, collective cell activity will be linked with heterogeneous cell environments predictable through disc tissue and organ finite element models.

HOST: UPF, Spain – Secondments: PAO; SHU; UBern – PhD delivered by: UPF – Deadline for recruitment: April 2021

Bottom-up simulations of spatio-temporal degenerative events in the IVD & biological LDD stratification

ESR 14 will work on the systematization of multiscale modelling of the intervertebral disc regulation for improved LDD stratification. Existing regulatory network and multiphysics models, at the molecular/cell and tissue/organ scales will be locally integrated in relevant regions of interest of the IVD. Such integration will be coupled with different disc model morphologies and molecular signature inputs, from the Twins UK and Northern Finland Birth cohorts. A smart atlas of simulated data will be generated, to eventually enable efficient calculations through metamodeling. Metamodeling will further allow the mining of simulated and real word data altogether, to establish different fingerprints of LDD and the spatio-temporal evolution thereof, characterised by specific hierarchies of risk factors and exploitable clinically.

HOST: UPF, Spain – Secondments: OULU; University of Tampere; InSilicoTrials – PhD delivered by: UPF – Deadline for recruitment: May 2021

Data-driven gene prioritization in LDD & phenome-genome relationships

​ESR8 will use network-based disease gene prioritization approaches to understand the pathophysiology of lumbar intervertebral disc degeneration (LDD). (S)he will also apply different computational strategies and tools to reveal comorbidities related to LDD and will integrate data from protein interaction databases to uncover latent connections between comorbid diseases. The candidate will work in the implementation of a model for biomarker recommendation based on genotype-phenotype relationships and related comorbidities.

HOST: IMIM, Spain – Secondments: KCL; PAO – PhD delivered by: UPF – Deadline for recruitment: April 2021

Standardized in vitro dynamic modelling & mechanism- based analyses of gene /protein /SNP at the cell /tissue & organ levels

ESR 10 will involve an interaction of in silico modelling and evaluating parameters in-vitro in organ culture models: e.g., glucose and lactate concentration, cell survival, and proinflammatory cytokines and the evaluation of these models in 3D cell/tissue/organ cultures involving mechanical stimulation (UBern). The crossdisciplinary work will involve direct interactions with the research group of Prof. Dr. Jerôme Noailly from the Department of Information and Communication Technologies, Universitat Pompeu Fabra (UPF), Barcelona, Spain. Mesofluidic models of bioreactors will be investigated in collaboration of Prof Dr. Liesbet Geris, Biomechanics Research Unit, Université de Liège (ULG), Belgium. Pathway analysis will be performed in collaboration with ProtATonce Ltd, (PAO), Greece.

HOST: UBern, Switzerland – Secondments: UPF; ULG; PAO – PhD delivered by: UBern – Deadline for recruitment: April 2021

Signalling pathway construction & mechanism-based biomarker identification 

ESR 11 will work on define IVD-specific assays & explore possible pharmacological pathway inhibitions for mechanistic pathway analyses based on cell stimulation experiments; Fit structure of disc cell signalling pathways against multiplexing measurements of supernatant (cytokines) & cell lyses (intracellular activity); Compare the fitted pathway structures for each cell type & experimental microenvironment to pinpoint differences & similarities of signal transduction and cell responses to perturbations; Topology-based analyses to deduce mechanistic biomarkers involved in LDD & draw connections from the genetic to the transcription/protein abundance levels to compare to biomarkers identified in data-driven approaches; Multiplex & pathway analyses for bacterial co-culture; Pathway model interoperability, tool for automatic pathway model selection based on gene-biomarker data and initial support for integration into final platform. Tasks will follow the PAO’s Quality Management System processes for assay discovery, development, production, and quality control according to ISO13485, GMP, and IVDR EU guidelines. 

HOST: ProtATonce Ltd, (PAO), Greece – Secondments: RIT; SHU; IMIM, BSC-CNS – PhD delivered by: NTUA (School of Mechanical Engineering); RIT (Engineering PhD programme) – Deadline for recruitment: April 2021

Management of clinical, biological & simulated data for uniform simulation workflows​

ESR 1 will exploit large research data infrastructure (Twins UK, Northern Finland Birth Cohort) and will be responsible for the systematic treatment and machine interpretability of heterogeneous datasets (organ phenotype, patient condition, molecular signatures, sex & gender, psychological status, known comorbidities, …), to enable integration of data into holistic disease models and decision support systems.
HOST: InSilicoTrials, Italy – Secondments: OULU; AQUAS; BSC-CNS – PhD delivered by: UPF – Deadline for recruitment: January 2021

Classification of IVD radiological signs and relation with SNP & multi-omics profiles

The ESR 4 will focus on developing machine learning based prediction and severity assessment models for intervertebral disc (IVD) degeneration. The primary aim will be to combine radiomic features from magnetic resonance (MR) and X-ray images, omics data, and other background data of the patients – in order to discover multiple phenotypes of the IVD degenerative disease. In this project, we will leverage patient material from TwinsUK and Northern Finland Birth Cohort datasets.
HOST: OULU, Finland – Secondments: Cluster UPF, BSC-CNS, GALGO; PLEXALIS – PhD delivered by: OULU – Deadline for recruitment: January 2021

GWAS & Microbiome associated with main IVD phenotypes.

The ESR will provide initial seeds for gene prioritization as well as evidences about the validity of microbiome biomarkers in LDD, by exploiting the data from the TwinsUK and NFBC population cohorts. Candidate gene and GWAS-based approaches will be used to identify novel associations between gene variants and a variety of spine phenotypes. Bioinformatic methods will be further used for general confirmation. In particular, DisGeNET and genetic correlation with known risk factors for LDD will be interrogated. Additionally, the ESR will seek to address the question of whether the gut microbiome differs in people with Modic change. To do this, we will leverage existing MR scans available and collect stools (by post) in a process that has become routine in TwinsUK. HOST: KCL, United Kingdom – Secondments: IMIM, UPF – PhD delivered by: KCL – Deadline for recruitment: January 2021

Experimental exploration of the microbiome in degenerated IVD

This doctoral research program will investigate the potential role of infective agents and the microbiome in low back pain. Utilising human intervertebral disc samples from surgery the IVD microbiome will be characterised together with associated microbiome sites using high throughput microbiome sequencing. In vitro co-culture systems will then be deployed to investigate the potential roles of infective agents and the microbiome on disc cell behaviour and implications in the pathogenesis of disc degeneration. Culture systems will be utilised which mimic the cellular niche of human intervertebral disc during disc degeneration.
HOST: SHU, United Kingdom – Secondments: UBern; ULG – PhD delivered by: SHU – Deadline for recruitment: January 2021

In vitro & In silico modelling of CEP degeneration mechanisms

ESR12 will be using the mesofluidics setup available at the host institute to test bovine IVD endplates under different fluid regimes defined through FE simulations with endplate micromodels by other partners in the consortium. Experiments consist of testing various biological conditions in the set-up and monitoring the tissue response through multiplex (elisa) and multi-omics (transcriptomics & metabolomics) assays. These experiments will serve to gain a system-level understanding of the interactions taking place in the IVD endplates and validate the computational models developed by other partners in the project.
HOST: ULG, Belgium – Secondments: UBern; PAO; UPF – PhD delivered by: ULG – Deadline for recruitment: January 2021

Coordination tasks in Disc4All are utmost important. They include the monitoring and proper coordination of training and research at more than 11 international institutions, the monitoring of project finance, the communication of the project and of the results achieved, and the promotion of public engagement. Accordingly, a strong coordination team is needed and the Consortium is looking for a Project Manager that will provide support to the Project Coordinator and to the different Consortium Bodies of the project. Deadline for recruitment: November 15th, 2020

Standardized in vitro static modelling & mechanism- based analyses of gene /protein /SNP at the cell /tissue & organ levels

The contribution will consist of standardized in vitro static modelling & mechanism- based analyses of gene /protein / SNP at the cell /tissue & organ levels. The research will be to test physiological conditions using different pre-clinical 3D culture models. Laboratory methods involve qPCR, Western blotting, ELISA, immune-histology and microscopy but also biomechanical testing.
HOST: UBern, Switzerland – Secondments: SHU; IMIM; RIT – PhD delivered by: UBern – Deadline for recruitment: January 2021

3D modelling of the lumbar spine & automatic extraction of 3D morphological features in LDD
ERS 5 will address 3D modelling of the lumbar spine from medical images. Methods using deep learning and statistical modelling will be developed to segment the lumbar vertebrae and intervertebral disks in 3D MRI sequences and CT image, and provide 3D subject-specific lumbar spine models from 2D medical images (X-rays or mid-sagital MR images) used in clinical practices. Those methods will be used in combination with finite-element-based simulation methods developed within other ESR14 and 15 to develop a diagnosis and predictive tool for intervertebral disk degeneration.
HOST: GALGO, Spain – Secondments: OULU; InSilicoTrials – PhD delivered by: UPF – Deadline for recruitment: January 2021

Integrated solvers for bidirectional coupling of physical & biological events over multiple scales
The ESR will work on creating models and algorithms for simulation of Intervertebral disc degeneration pathologies. The main task will be to develop a multiscale mechanistic modelling software by coupling an Agent Based (AB) simulation solver with a Finite Element(FE) solver for High Performance Computing. The Finite Element solver will be adapted to couple mechanical deformations and solute transport to perform osmoporoviscoelastic simulations, by using the processed MRI data of patient-specific disc geometries. The candidate will be expected to cover the following tasks: 1) Adapt the FE solver Alya to tackle solute transport simulations coupled with porous media finite deformations & with Donnan osmotic swelling; 2) Adapt AB solver Pandora to integrate regulation network and work with 3D meshes; 3) Couple Alya & Pandora over 3D meshes and generate a new multiscale AB-FE solver; 4) Verify and validate the multiscale solver & simulations; 5) Optimize for massive multiscale simulations on HPC; 6) Generate software package & provide initial support for integration into final platform – Host: BSC-CNS, Spain – Secondments: ULG; UBern – PhD delivered by: UPF – Deadline for recruitment: January 2021
SEE JOB OFFER & APPLY – Application Deadline: 30/09/2020