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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | 29 days ago
learning, privacy, security and distributed systems. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2026-10411 Requirements Skills/Qualifications We are looking for a candidate with
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remaining biologically interpretable? The PhD candidate will design and apply integrative computational workflows using methods such as multi-omics integration, spatial modelling, representation learning
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
and broaden the scope of geophysical models. We will develop a neural solver that dynamically learns to solve the momentum conservation equations. Unlike traditional supervised learning approaches, our
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expertise in materials science and, if possible, in electrochemistry, along with a knack for collaborative work. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7314-EMMBAU0-007/Default.aspx
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within the Solid-state Quantum Technologies team (S2QT – https://solidstatequantumtech-l2c.fr/ ) of the Charles Coulomb Laboratory in Montpellier. The doctoral work will be supervised by Vincent Jacques
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archaeological and historical contexts is also required. Additionally, the ability to perform *ad hoc* data processing (multivariate statistics, machine learning, etc.) is desirable. Proficiency in programming
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explore strategies to preserve or restore functional hematopoiesis. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7284-EIRTRO-012/Default.aspx Requirements Research FieldBiological
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learning, particularly flow-matching generative models and protein language models. The research will focus on designing efficient generative models able to produce realistic conformational ensembles while
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, machine learning, explainable artificial intelligence (XAI), digital twins, and integrated data-model approaches. • Study of the frugality of the developed approaches by reducing the requirements
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD work will be carried out within the EMPRe team (https://dcm.univ-grenoble