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materials science, - Machine learning force fields / data-driven techniques for chemistry or materials science Specific Requirements This position involves a significant amount of numerical code development
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26 Sep 2025 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Computer Engineering Research Field Computer science Researcher Profile First Stage Researcher (R1
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foundations in classical probability theory and can be seen as a generalization of the Bayesian framework, bringing an additional degree of flexibility to express different types of uncertainty. In machine
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functions in different neurological disorders Teach students about clinical and research aspects of neurodegenerative disorders Present at public events for information of lay public or medical professionals
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to its activities, see https://csd.ens.psl.eu The Laplace chair aims at recruiting outstanding candidates in all areas of data sciences including theoretical statistics, machine learning, deep learning
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interest: Advanced techniques for data storage/retrieval/processing/visualization on large scale. Cybersecurity Software engineering Machine/deep learning Technical aspects of human computer interaction (HRI
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diagnosis6 . Objectives: The goal of the internship is to conduct pilot analyses to investigate the potential of machine learning approaches to infer latent neuroimaging phenotypes displaying maximum fit with
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physical measurements (temperature, flow rate, pressure, etc.) Knowledge of manufacturing processes, mechanics, and materials Basic electrical knowledge TIG welding skills are an asset Good computer skills
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information extraction from images or videos, object detection and tracking techniques. - Machine learning and artificial intelligence: mastery of supervised and unsupervised methods (CNN, clustering