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spins could revolutionize information processing and storage technologies. Towards this purpose, we aim to explore low-dimensional magnetoelectric and altermagnetic materials based on halides
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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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experimental partners in Metapix . As a postdoc you will be embedded in the recently funded Metapix center and you will be part of the Condensed Matter and Materials Theory division , a research group tackling
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. As a postdoc you will be embedded in the recently funded Metapix center and you will be part of the Condensed Matter and Materials Theory division , a research group tackling questions ranging from
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, you will become part of a successful team of PhD students and postdocs in a constellation of local theoretical and experimental groups. For this postdoc project, we seek a dynamic and motivated
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apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
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and men. Project overview The project concerns applying supervisory control theory to security in a broad sense, both as off-line and on-line approaches. The work is collaborative in nature, bridging
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power grids. In this role, you will combine theory and experimentation to address one of the most critical challenges in modern energy systems, maintaining stability in an increasingly converter-dominated
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We are looking for a postdoctoral researcher who wants to contribute to the development of next-generation frameworks for resilient power grids. In this role, you will combine theory and
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have great impact in academia and industry. Your research direction and work assignments You will develop methods, based on computational geometry, to generate spatial information of nanoparticles