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Field
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holder will lead research activities centred on reinforcement learning, optimal control, and simulation-based policy development, using robotic and biomechanical simulation environments to design and
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staff position within a Research Infrastructure? No Offer Description The Optimization Group at Aeronautics Institute of Technology's Computer Science Division (IEC/ITA) in São José dos Campos (São Paulo
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Company description The Roeffaers Lab at KU Leuven develops cutting-edge microscopy techniques to address key challenges in environmental science, catalysis, and biomedical research. Our team
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17 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique de l'ENS Research Field Chemistry » Physical chemistry Physics » Chemical physics Physics » Biophysics
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Postdoctoral researcher (M/F), synthesis of crystal phase heterostructures by Molecular Beam Epitaxy
15 Jan 2026 Job Information Organisation/Company CNRS Department Centre de Nanosciences et de Nanotechnologies Research Field Physics » Condensed matter properties Physics » Solid state physics
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language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research results in top-tier international conferences
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sciences research institute in Belgium, supported by the Flemish government and embedded within Flemish universities. VIB brings together 2,000+ scientists and staff in 10 research centres, combining
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15 Jan 2026 Job Information Organisation/Company Universitat de Girona Department Servei de Recursos Humans Research Field Chemistry Researcher Profile Recognised Researcher (R2) Positions PhD
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Internal Number: 39440 Description: The Center for Excellence in Post-Harvest Technologies (CEPHT) invites applications for a Postdoctoral Researcher position to join our multidisciplinary research team
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mathematics to work with Axel Ringh on a project funded by the Swedish Research Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and