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ability to work in a cooperative, multi-cultural and multi-disciplinary environment. Dynamism, self-organization, autonomy and drive. Interest for computing biology (R programming, image analysis) will be
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. Interest for computing biology (R programming, image analysis) will be an additional asset. Contact & applications: Applications should be sent to pierre.guermonprez@pasteur.fr ; julie.helft@inserm.fr
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. • Strong organizational skills, project management capabilities, and team spirit. • Flexibility and proactivity in a startup environment. Education • PhD (preferred) in physics, materials science
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interdisciplinary, and together we contribute to science and society. Your role The Research and Development Specialist will be responsible for establishing, developing and maintaining new and existing computational
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auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application Application files should contain a resumé, an application letter and grade records of the 2 last
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, clustering, classification • deep learning, variational auto-encoder, back-propagation, • knowledge of R (main programming language), Python and C++. Application: Application files should contain a resumé, an
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This is a unique opportunity for an outstanding scientist to develop an innovative research program at the interface of biology, applied mathematics and/or physics, within one of the five DYNABIO-affiliated
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on the following criteria: • Ability to lead a research program of high risk/high gain projects, supported by a track record of publications and grants. The candidates must meet all criteria to compete for national
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independent research group in Immunology. The successful candidate will be expected to develop a bold, innovative, and high-impact research program that complements and enhances INEM’s scientific strengths
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are highly encouraged. The ideal candidate will bring a strong interdisciplinary background, evidenced by collaborations across the agricultural, environmental and social sciences, to inform evidence-based