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models capable of inferring the IPLS directly from widely available genomic and epigenomic data. Broadly, the project aims to develop integrative approaches at the interface of (epi)genomics, machine
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develop and implement machine learning approaches to analyze these data and extract relevant indicators to improve water resources management. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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degrees: A Master's or engineering degree in robotics, AI, computer science, embedded systems, computer vision, or mechatronics. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR6285-FLOLHO
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surface based on elementary or unit cells incorporating active materials (electrically or optically), will require the development of technologies capable of replacing semiconductor components distributed
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astrophysics, cosmology, or a related field completed by the start date; strong programming skills; working knowledge of machine learning applied to astrophysics and cosmology, in particular simulation-based