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Field
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design, and/or machine learning in the context of integrated photonics. We are looking for someone who wishes to work theoretically in this field, while still maintaining close contact with experiments
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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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corresponding functional analytic methods is required. Good knowledge of English (written and oral) is required, as well as strong collaborative skills and the ability to work independently. Prior experience with
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the local and distant universe. You will join a vibrant and collaborative research environment that combines observations, theory, and data-intensive methods to explore key processes shaping galaxies and
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the context of integrated photonics. We are looking for someone who wishes to work theoretically in this field, while still maintaining close contact with experiments. Information about the project and division
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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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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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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
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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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(RTP) by metal-free compounds and double thermally activated delayed fluorescence (TADF) from single molecules. Work assignments The proposed postdoc project among others will include computational