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6 Mar 2026 Job Information Organisation/Company UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE Department Computer ingineering Research Field Engineering » Computer engineering Researcher Profile First
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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. He/she may also participate in teaching: Dependable Software Engineering, Software Verification and Validation Methods (apprenticeship), and Computer System Dependability (apprenticeship). He/she will
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challenge will be to formalize the type of dependency between subsystem characterizations that can be included in the analysis and synthesis (estimation filter) methods, while preserving the convex character
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intelligence models for the analysis of multispectral remote sensing imagery. The main tasks include implementing computer vision and machine learning methods for the detection and prediction of algal blooms in
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-driven methods provide excellent performance under low or cyclo-stationary regimes but struggle with highly dynamic and rapidly varying conditions; conversely, model-based state observers ensure robustness
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manual gestures). The SyncoGest project (2025–2030) is an interdisciplinary project conducted jointly by computer scientists (Loria – University of Lorraine / Inria / CNRS), linguists (Praxiling – Paul
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Fondation Nationale des Sciences Politiques | Paris La Defense, le de France | France | about 15 hours ago
/Qualifications Bachelor’s or Master’s degree in economics or an equivalent degree. A solid training in econometrics and in methods for causal inference is required. Some formal training in programming/Computer
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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Paris 15, le de France | France | 10 days ago
compréhension des processus physiologiques au niveau moléculaire et pour l'amélioration des approaches théoriques pour le traitement des maladies. Le groupe de recherche hôte (https://sites.google.com/site
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generalizations—combining methods rooted in statistical physics and theoretical computer science. The research work can be more centred on analytical approaches or numerical experiments depending on the profile