11 postdoc-applied-linguistics Postdoctoral research jobs at Chalmers University of Technology in Sweden
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The Automation research group at the Department of Electrical Engineering is recruiting a postdoc to contribute to advanced research in discrete-event systems. We are an internationally renowned
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-14170 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Automation research group at the Department of Electrical Engineering is recruiting a postdoc to
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Initiative for gender equality and excellence . If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in. How to apply The application should be written in English be
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native language, Chalmers offers Swedish courses to help you settle in. How to apply The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB
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We are looking for a postdoc to join our team at the Division of Engineering Materials at Chalmers University of Technology . The research will focus on the use of magnetic fields to control
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of Technology, and will enjoy access to local and national supercomputing facilities such as BerzeLiUs and Alvis . Who we are looking for To qualify for the position of postdoc, you must hold a doctoral degree
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of Technology to pioneer the next generation of biorefineries using marine and terrestrial biomass. This postdoctoral position offers the opportunity to develop innovative green processes for transforming
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of postdoc, you must hold a doctoral degree in chemical engineering, materials engineering, thermal engineering or mechanics, awarded no more than three years prior to the application deadline. The position
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Group within the Quantum Technology Laboratory (QTL) at the Microtechnology and Nanoscience (MC2) department, working in a large team of PhDs, postdocs and researchers. About the research We are seeking
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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