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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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collaboration. Present and report research results and publish scientific results in peer-reviewed journals or conferences. Basic Qualifications: A PhD in Computer Science, Applied Mathematics, Computational
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data
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/or peer-reviewed journals Required Knowledge, Skills, and Abilities: PhD in Computational Physics, Chemistry, Materials Science, Computer Science/Engineering, Applied Mathematics, or a related field
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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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Computing (HPC) research group (Prof. Florina M. Ciorba), Department of Mathematics and Computer Science, University of Basel, invites applications for a Postdoctoral Researcher funded by the SNF Bridge
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tools (e.g. code assistants) to support development, experimentation and research workflows. Strong mathematical background relevant to AI/ML (e.g. dynamical systems, optimization, representation learning
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to improve and optimize stem cell differentiation and manufacturing. As our new colleague you will be part of a diverse and multi-disciplinary team, which is engaged in machine learning and has a drive to make
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, candidates should possess a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will
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exciting opportunity for someone who thrives in an interesting and challenging work environment. Core responsibilities include: Research in the intersection of network optimization and approximation