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AI for Science and Engineering and Foundation Models and Generative AI axes. The recruited candidate will develop contributions at the interface between machine learning, optimization and quantum
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researcher to join our team at the Institut Européen des Membranes (IEM). The successful candidate will contribute to the AMSTOR project, which aims to develop functionalized hexagonal boron nitride (h-BN
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motivated to acquire new skills. Candidates must be fluent in English and/or French with scientific writing skills. The doctoral contract will take place at the CRISMAT laboratory (https://crismat.cnrs.fr
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and the endoplasmic reticulum. The project will combine approaches in cell biology, biochemistry, and advanced imaging. The candidate will contribute to the development and optimization of experimental
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at the crossroads of AI, machine learning, bioinformatics and genomics, and in developing new methods rather than just applying existing ones, we'd like to hear from you. Website for additional job details https
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quantify the evolution of the thermal structure of the Aquitaine Basin's crust and mantle using the geological record. Geophysical data, the subsidence history of sedimentary basins, and thermal-mechanical
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), Eq3 (3D liver models), and Eq4 (Germany, redox chemistry, and proteomics). The objectives are to: - Develop a plasma jet to treat pathological liver tissue in situ, and analyze the physicochemical
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learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 9 people : 4PhD students, 3 post doc, 1 research engineer and 1 assistant. The team is associated
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Develop numerical models capable of reproducing laboratory experiments
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combines multidisciplinary expertise to study the molecular and cellular mechanisms involved in brain activity. The Institute develops innovative methods in imaging, chemistry, physiology and computer