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. Fast dose calculation in x-ray guided interventions by using deep learning. Phys Med Biol 68. https://doi.org/10.1088/1361-6560/ace678 Where to apply E-mail julien.bert@univ-brest.fr Requirements
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at the interface of biological physics, agent-based simulations and machine learning to turn quantitative imaging data into a mechanistic, testable model of spindle positioning. In particular, we expect
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diffractometer, a GC for common gas analysis, a GC/MS, and an HPLC/MS. DFT calculations will be performed using annual allocations on national high-performance computing centers. More details here: https
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use, utilizing innovative binary file analysis and deep learning to improve the security of computer systems. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5104-MYRLAU-003
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris La Defense, le de France | France | about 2 months ago
a postdoctoral researcher to work full-time on the DiscoReel project. The postdoc will work on developing machine and deep learning methods for epidemic modeling, integrating them with mechanistic
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topic, the work addresses exploration of new concepts and technologies (in particular for reusable launch vehicles), and methodological research which includes MDO, surrogate modelling, deep learning and
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Requirements Research FieldComputer science » Computer systemsEducation LevelPhD or equivalent Skills/Qualifications Knowledge • Solid understanding of machine learning, deep learning, and modern AI techniques
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geomatics, spatial modelling and simulation, and model exploration and evaluation (OpenMole platform https://openmole.org/ ). The recruited individual will also work directly with the project's entomologists
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TCAD (Technology Computer Aided Design) simulation desirable. - Experience in power electronics desirable Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR8001-DAVTRE-003
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CNRS Informatics Candidates must present a proposed research programme that pertains to the themes and sub-themes of Interdisciplinary committee n°51 (Mathematical, computer and physical modelling