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., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data
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academic and professional qualifications Proven research experience in the field of modelling and analysis of biological networks Solid foundation in mathematics and algorithmic design Strong programming
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research environment with advanced training opportunities, embedded in a networked research community at the interface of chemistry, physics, and astronomy Werequire: PhD in Physical Chemistry, Physics, or a
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experience in at least one of the following topics: deep learning, reinforcement learning, probabilistic modeling, statistical learning, neural networks, or other related fields Interest in interdisciplinary
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newspaper and radio sources provided by a network of Western European partners Contribute to the design of the Impresso Web App and the Impresso Datalab together with a team of designers and experts in