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perception for robotics; machine learning. o An interest for approaches based on foundation models. o Proficiency in open-source libraries: Pytorch or equivalent, OpenCV, Open3D, PCL, etc. o Programming
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. • Strong knowledge of signal processing methods and machine learning. • Familiarity with regulatory and ethical constraints in research involving sensitive data. • Ability to work closely with
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relevant to the project's theme and activities. Solid experience in molecular simulation and/or machine learning is required, along with a good knowledge of associated theoretical tools (experience in
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specialized training and mentoring and will be integrated into the project network. A personal computer will be made available to the researcher Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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biostatistics, - At least 2 years of postdoctoral experience, and if possible experience in supervision (master or PhD students), - Solid background in mathematical modelling and computer programming
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or post-colonial worlds. He or she will analyze literary forms—fictional, auto fictional, or testimonial—that give shape to psychological suffering and the fragmentation of subjectivity in a context of
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presenting project advances at conferences; Supervising and mentoring Master's students and PhD candidates involved in the project when needed; Contributing to the scientific and technological dissemination
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that interaction represents the foundation of active learning and fosters acquisition and retention of knowledge, as opposed to passive reception in traditional teaching. Some benefits of MR are now well established
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processes (waste water treatment in car wash). This project targets in particular emulsion separation/mixing systems based on thermal and electrical treatments. The complete understanding of the physical
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the philosophy of science (including philosophy of logic, mathematics, and computer science), as well as about forty PhD students and three research support staff. The IHPST maintains numerous national and