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intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro-symbolic and context-aware reasoning
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 2 months ago
are envisaged to optimize the magnetic equilibrium at the plasma edge and investigate the heat transport and plasma physics for different divertor locations and geometries. One position is planned to be in
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experimentally and making a difference in the areas of materials and manufacturing, we look forward to receiving your application. About the research project The position is focused on development of robust AM and
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researcher in the context of a multidisciplinary project to classify materials in waste streams, including using X-rays. The goal is to optimally use the spectral capacities of a new generation of X-ray
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10 Apr 2026 Job Information Organisation/Company Chalmers University of Technology Research Field Engineering » Control engineering Engineering » Materials engineering Engineering » Other Physics
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plasma-assisted chemical vapor deposition (MPACVD); - Optimize the synthesis on the different types of substrates used; - Develop substrate preparation protocols designed to promote the adhesion of diamond
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scale and are most often organized at different size scales. They present a great diversity of forms (nanoparticles, porous media, confined fluids, colloids, multimaterials, self-organized media) and
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: - Distributed robotic autonomy for embodied intelligence - Data-driven and learning-based control - Decentralized decision-making and distributed optimization - Belief-space and uncertainty-aware planning - Neuro
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stability, self-assembly, and bacteriophage research. The project will establish structure-property-function relationships, guiding the development of optimized polymeric stabilizers tailored to different
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reactors and the study of sonochemical reaction engineering. We excel at controlled experiments aimed at determining the driving forces for optimally efficient sonochemistry across different reactor scales