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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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advanced statistical analysis Expertise in youth research is an asset Proficiency in data processing and analysis software (e.g. R, Stata, Python, SPSS) Proficient in at least two of the following languages
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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