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degree (PhD or equivalent) in computer science, data science, statistics, bioinformatics, or a related discipline A strong publication record in machine learning, computer science, bioinformatics
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advancement of modern artificial intelligence (AI) methods in drug discovery and development. An ideal candidate will have strong background in machine learning, computational chemistry, or related fields, with
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, calibration, and the development of analysis tools and software. Our key focus areas are the physics of jets, top quarks, and EWSB, including the development of novel machine-learning methods for high-energy
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methods. The appointee must have an interest in working in a multicultural and multilingual environment and in interdisciplinary teams, as well as collaborating with stakeholders from the private, public
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the research group of Professor Klaus Nordhausen in the project “Signal recovery in noisy spatial data”. The research group develops modern and efficient multivariate statistical methods tailored
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experience during their PhD and postdoc periods. The selected group leaders are expected to initiate a new independent research program in one of FIMM’s research fields. Background FIMM is a leading molecular
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The objective of the research project is to update the methods for monitoring carbon sinks in the land use sector to obtain more accurate information about the status and changes in carbon stocks
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applications. Addressing food and nutritional security requires novel ways of producing sustainable, safe, affordable, healthy and flavourful food. Europe alone faces numerous challenges related to the rise in
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and Integrative Biosciences Research Programme. The successful candidate should have a strong track record for their career stage in the field of genetics and be committed to excellence in research and
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empirical, experimental and theoretical methods, together with world-class administrative data on individuals and firms. Some of the work is done in collaboration with revenue authorities, also in African