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-career scientist to develop cutting-edge machine learning approaches for understanding and designing pathogen antigens. This is a unique opportunity to help shape a new research program at the intersection
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Epidemiology of Malaria), led by Aimee Taylor. Using simulation-based inference (SBI) with deep learning, UniGEM aims to build a neural network to estimate epidemiological parameters of P. falciparum
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physiological function of cellular senescence, and how does it transition from a regenerative program to a driver of pathology? We investigate how senescent cells control tissue plasticity and microenvironmental
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[email protected] in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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of genetic networks Interplay between chromatin architecture and gene regulation Candidates will use a combination of skills in molecular and developmental biology, instrumentation and data analysis to answer
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addressed by harnessing advances in tissue engineering, via the design of new organ-on-chip models that mimic features and functions of human lymphoid tissues in vitro. In this project, we will take advantage
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research experience like engineering/biotech schools e.g.. Experience with recombinant antibodies or mRNA-LNP technologies. A former working experience and training in animal experimentation (mandatory). A
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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must have a PhD in computer science, machine learning, or computational biology The position is initially for 12 months with the possibility of extension. Application : send CV, motivation letter, and