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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
machine learning. Gathering this large panel of skills, the team aims at improving our understanding, reconstruction and forecasting of ocean dynamics, and more specifically to bridge model-driven and
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The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative- genomics/) at Institut Pasteur, headed by Laura Cantini, works at
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, or machine learning) Experience working with various animal models Ability to work in an interdisciplinary research environment Specific Requirements Programming experience (Python and R) Experience with
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at weekly seminars featuring leading experts in the field, providing opportunities to network and learn from the best in the field. - Opportunities to present at major international conferences, giving
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. Interest and experience with training/fine-tuning machine learning models would also be appreciated. Interest and knowledge of economic theoretical modelling would be a plus. Strong coding skills and
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the SCOPE (Cognitive Sciences for Education) research program, which investigates the cognitive and socio-cognitive mechanisms underlying learning. The program aims to better understand and prevent various
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motivated candidate with: a PhD in immunology, with expertise in T cell/B cell interactions and/or vaccinology an expertise in advanced flow cytometry a strong motivation to learn organ-on-chip technologies a
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experience in large-scale structure simulations, working knowledge of applications of machine learning techniques in cosmology and/or astrophysics (in particular simulation-based inference), strong programming
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity