152 data-"https:"-"https:"-"https:"-"https:"-"Université-Grenoble-Alpes" Postdoctoral positions at Nature Careers
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for a ... University Assistant (Post-Doc) for Astronomical Data Flow Systems 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 15.03.2026 | Working hours: 40 | Collective bargaining
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Full time, 3-year fixed term position, located on the Camperdown Campus at the School of Life and Environmental Sciences (SOLES) A rare opportunity to combine multimodal data analysis with hands
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Postdoc in Generative Machine Learning for Biomedical Data | Human Technopole, Milan Build the science that shapes the future of human health. Application closing date: 21.02.2026 Join a place where
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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(http://www.hogberglab.net/ ). You will contribute to the Dura-store project that is a part of the European Innovation Council’s Pathfinder Challenge for DNA-based digital data storage, aiming to use bio
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unified data framework for microbial carbon dioxide conversion, integrating data from methanogens, acetogens, and hybrid projects for standardization, kinetic/thermodynamic measurements, and predictive
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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establishments (Université Côte d'Azur, CNRS, INRAE, INSERM ...), but also with the regiona economic players. With a presence in the fields of computational neuroscience and biology, data science and modeling
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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection
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, and members of their research groups. The projects will integrate high dimensional clinical data with outcomes to specific therapeutics to generate ‘patient similars’ or ‘digital twins’. The studies