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. Your Profile Currently pursuing a master’s degree in Computer Science, Data Science, Artificial Intelligence, Geosciences, Physics, or a related field Strong programming skills in Python and experience
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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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the European Synchrotron’s scientific mission by providing essential computing resources and services. We are seeking a skilled Windows technician to join our dynamic IT team and contribute to the
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16 Sep 2026 Job Information Organisation/Company CNRS Department Equipes Traitement de l'Information et Systèmes Research Field Engineering Computer science Mathematics Researcher Profile First Stage
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argumentation, explainable AI, diffusion models, computer vision, security. You should also have: A Master’s degree (or equivalent) in computer science or related area. Familiarity with standard
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhône-Alpes | France | 2 months ago
22 Aug 2026 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Computer science Researcher Profile First Stage Researcher (R1
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pretraining approaches that enable GeoFMs to generalize more effectively across a broad range of real-world EO applications. Your Profile Currently pursuing a master’s degree in Computer Science, Data Science
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and sufficient. Assigning meaning to prototypes is however a time-consuming task, as the various models tend to learn prototypes that do not carry sufficiently high-level meaning. A parallel line of
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contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50
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, parallel research axes: pushing model accuracy on systems of several thousand atoms with an IWAE architecture; equipping it with the ability to quantify its own uncertainty — a prerequisite for any use