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» AlgorithmsYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in one of the following areas (or related fields): * Machine learning / deep learning * Quantum computing / quantum
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of massive galaxies from the primordial Universe to z~2. This project combines a unique JWST dataset with state-of-the art hydrodynamical simulations and machine learning techniques to understand the origins
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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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University of Lille offers a 34-month fixed-term contract researcher position to work on the recently funded project ACCTS (“Assessing cirrus cloud thinning strategies by learning from aerosol-cirrus
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University of Lille offers a 34-month fixed-term contract researcher position to work on the recently funded project ACCTS (“Assessing cirrus cloud thinning strategies by learning from aerosol-cirrus
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FieldPsychological sciences » PsychologyYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in neuroscience, computational neuroscience, signal processing, biomedical computing, applied
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and Marie Curie campus, in central Paris. The laboratory consists of approximately 90–100 researchers, lecturers, PhD students, and postdoctoral researchers, conducting research in the fields of energy
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the DEMETER project (DevelopMent of adaptive pruning robots for sustainable viticulture through Simulation and AI empowered Perception, Robot Learning and Intuitive TeleopeRation), funded by the Concert-Japan
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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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nervous system to modulate future aversive/nociceptive experiences (Merabet et al., in preparation). Notably, this effect participates in how flies learn the relative aversive value between aversive