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train robust machine learning (ML) algorithms without exchanging the actual data. The benefits of such a decentralized technology over personal and confidential data are multiple and already include some
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology that may then also be used to develop
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We are seeking a highly motivated postdoctoral researcher with the following qualifications: • PhD in Mathematics, Computer Science, or a related field. • Solid background in optimization and/or
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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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; developing our partnership programme with industry; contributing to a quality management system; and the organization of webinars and other dissemination activities, including publications. Support from
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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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Context Conventional optical microscopy techniques, such as confocal microscopy, are widely used in biology for investigation on cellular and sub-cellular structures. However, their spatial
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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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? Are you our future colleague? Apply now! Required Qualifications Master degree or PhD in Computer Science or related topic in the sectors of Smart Cities, AI/Robotics, Computer Science, Urban Systems
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machine learning or theoretical biophysics or computer science Conditions. Postdoc position funded by Centre Inria at Université Côte d’Azur, France. The position is located in Sophia-Antipolis, French