Medical Data Scientist ProgrammeThe Heidelberg Faculty of MedicineAs part of the Career Development …
Medical Data Scientist Programme
The Heidelberg Faculty of Medicine
As part of the Career Development Programme, the central goal of the Medical Data Scientist Programme is to foster participating scientistsā€™ development into group or laboratory leaders in the field of medical research. The program is designed for post-doctoral scientists with above-average qualifications who are applying for a research position in the fields of medical informatics, medical bioinformatics, digitalization in medicine, or the medical data sciences at the Heidelberg Faculty of Medicine.
Up to two research positions in the form of Medical Data Scientist Fellowships with a protected research period of a maximum of three years will be awarded. The Heidelberg Faculty of Medicine will fund a total of two years of full-time research. One additional year must be funded by the host clinic or institute.
Deadline: Monday, April 15, 2024, 12:00 p.m.
More information and application HERE
______________________________________Computational Biology Systems Researcher (R2-3) ā€“ codesign activities (LS & CS)
Barcelona Supercomputing Center - Centro Nacional de SupercomputaciĆ³n
In the Life Sciences area, we are looking for a Researcher to work in the computational systems biology approaches to simulate biological networks at different time-scales (Ponce-de-Leon et al., 2023). In particular, we are interested in the development of new approaches to the simulation of different molecular networks and of different type of cells, with emphasis on genome-scale metabolic models, Boolean regulatory networks and agent-based models, as well as the integrations of omic information to validate model predictions. These multi-scale models simulations should be able to be adapted to parallel environments to be deployed to HPC platforms at the BSC and at other HPC centres in Europe.
More info and application HERE
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Junior Postdoctoral researcher in computational biology - Project: Scalable systems modelling to simulate body-level interplays among non-communicable diseases
Pompeu Fabra University: Department of Information and Communication Technologies
Non-communicable diseases (NCD) that involve load-bearing organs emerge silently according to complex mechanisms that are likely to involve inter-disease systemic communications. Clinical explorations cannot apprehend such intricate emergence, O-Health postulates that multiscale in silico models can. O-Health proposes a scalable ecosystem of multiscale NCD models interrelated through a body-wide systemic model of low-grade inflammation. The project tackles such vertical and transversal physiology-based computational modelling through four major NCD, lung emphysema, atherosclerosis, intervertebral disc degeneration and knee osteoarthritis that affect load-bearing organs at different anatomical locations. Each NCD model will vertically share predicted variables with an interface model of endothelial cell dysfunction that communicates with a transversal model of body-wide systemic communications. The O-health ecosystem shall be modular and interoperable. Models and simulations will combine finite element models at the organ /tissue scales and systems biology models at lower scales, with machine learning models for the incorporation of real-world data out of population cohorts. Interoperability shall be ensured through declarative standard languages such as Field and Systems Biology Mark-up Languages.
