593 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in France
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, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving
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), whose objective is to extend the HLA-Epicheck model, originally developed within the framework of a PhD thesis, and to implement new deep learning approaches to assess donor–recipient compatibility in
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
equipment, etc.) Social, cultural and sports events and activities Access to vocational training Complementary health insurance under conditions 2788€ gross salary / month Selection process Applications must
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FieldComputer scienceYears of Research Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Skills/knowledge: computer vision, neural networks
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The work proposed for this post PHD position involves studying and
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FieldComputer scienceYears of Research ExperienceNone Research FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria The candidate must hold a PhD in computer science (or a
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 20 days ago
LevelPhD or equivalent Research FieldMathematicsEducation LevelPhD or equivalent Skills/Qualifications Must hold a Ph.D. degree in Mathematics / Computer science or Machine Learning. • Be able to work within
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18 Nov 2025 Job Information Organisation/Company Nantes Université Research Field Computer science » Computer hardware Computer science » Digital systems Computer science » Systems design Researcher
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Inria, the French national research institute for the digital sciences | Bron, Rhone Alpes | France | 20 days ago
rapid behavioral adaptation alongside more traditional forms of learning. This framework seeks to bridge fast, state-dependent computations and slower, experience-driven plasticity, contributing to a more
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, involving expertise in optics, electronics, image and data processing, chemistry, and biology. With the support of several European funding programs, the team is building a data science and machine learning