16 postdoctoral-fluid-flow Postdoctoral positions at Chalmers University of Technology
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electron beam and radiation sources in laser-produced plasmas. As a postdoctoral scientist, you are employed by Chalmers and will receive a salary according to current salary agreements. Qualifications PhD
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. The postdoctoral project will be focused on the design of optimized generation schemes for tailor-made electron beam and radiation sources in laser-produced plasmas. As a postdoctoral scientist, you are employed by
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. Project overview The postdoctoral researcher will develop and evaluate methods for recycling spent sodium-ion batteries. The work will involve experimental research in aqueous chemistry, with particular
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position is embedded in a vibrant research environment that includes several PhD students and postdoctoral researchers. The project is a close collaboration between the Computer Vision Group at Chalmers
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fluids, flow-induced pattern formation in both simple and complex flows (e.g. flow instabilities, product defects), multiscale analysis, and the application of machine learning techniques. About the
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universities around the world. The department provides a friendly, creative, and supportive atmosphere with a steady flow of international guests. More information about us can be found on our website: http
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nanochannel fluid flow, mechanical reliability, and immersion cooling behaviour. Your major responsibility as a postdoc is to perform your own research in a research group. The position may also include
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Are you ready to drive sustainable innovation in carbon fibre recycling at Chalmers University of Technology? We are looking for a postdoctoral researcher to join a cross disciplinary project at
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We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
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We are seeking a highly motivated and skilled Postdoctoral researcher with interdisciplinary expertise to develop risk assessment and mitigation models using Large Language Models (LLMs