Disc4All project aims to tackle this issue through collaborative expertise of clinicians; computational physicists and biologists; geneticists; computer scientists; cell and molecular biologists; microbiologists; bioinformaticians; and industrial partners. It provides interdisciplinary training in data curation and integration; experimental and theoretical/computational modelling; computer algorithm development; tool generation; and model and simulation platforms to transparently integrate primary data for enhanced clinical interpretations through models and simulations. Complementary training is offered in dissemination; project management; research integrity; ethics; regulation; policy; business strategy; and public and patient engagement. The Disc4All ESR will stand for a new generation of internationally mobile professionals with unique skill sets for the development of thriving careers in translational research applied to multifactorial disorders.
Topic: Data-driven gene prioritization in LDD & phenome-genome relationships The candidate will use network-based disease gene prioritization approaches to understand the pathophysiology of lumbar intervertebral disc degeneration (LDD). (S)he willalso 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.
The Enrolment Form must be completed at In addition, all the documents must be sent by email to JANET PIÑERO,
Required Research Experiences
Offer Requirements
Skills/Qualifications
Demonstration of strong computational, bioinformatics analytical skills.
Eligibility to be enrolled in the PhD in Biomedicine programme of the Universitat Pompeu Fabra (
Educational Level: Master’s degree in a relevant subject area such as statistics, biochemistry, biological sciences, genetics, or bioinformatics
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