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Materials Theory division, a research group tackling questions ranging from nanomechanics to optics and quantum physics. Chalmers University of Technology is a leading research institution in nanoscience and
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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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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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. 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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the development of mathematical theory to understand complex problems in the life- and material sciences. More information about Marc Hellmuth and his group can be found here . Research in the Catalysis and Self
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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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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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investigations are also diverse and complementary, and range from theory and computer simulations to experiments in subatomic physics. The Plasma Theory group within the Division conducts research on acceleration
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. The workplace The position is located at the Laboratory of Organic Electronics (LOE ), specifically within the Theory and Modelling for Organic Electronics unit in the group led by Associate Professor Glib