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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 9 hours ago
learning, or transformers is a major advantage. Practical knowledge of Python, clean coding practices, and reproducible ML workflows. Familiarity with protein structure, biophysics, or molecular modeling (MD
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surrounding natural tissues Apply patient-specific boundary conditions from musculoskeletal simulations performed by a collaborating post-doc in the institute Perform parametric variation of the design to
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, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctor Pedro
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, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage
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2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Doctor Pedro
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studies and post-doctoral periods. b) Relevant experience in cell and tissue culture (2D and 3D), molecular biology, and the development of in vitro 3D models based on 3D bioprinting. Experience in
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President of the Instituto Superior de Agronomia, Professor Doctor António Guerreiro de Brito. Where to apply E-mail goncalo.f.duarte@edu.ulisboa.pt Requirements Research FieldAgricultural sciences » Forest
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the Faculty of Medicine and Health Sciences at NTNU. It was established as a Centre of Excellence in 2002, 2012, and again in 2023. Our Centre of Excellence, the Center for Algorithms in the Cortex (https
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for knowledge acquisition, natural language interaction, and decision support, while integrating simulator data and multimodal inputs to provide timely guidance, feedback, and post-training analysis. This PhD