58 computer-programmer-"FEMTO-ST"-"FEMTO-ST-institute"-"FEMTO-ST" positions at Chalmers University of Technology
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on literature from mathematics, computer science, robotics, and game theory. Join a growing research group developing state-of-the-art algorithms for agentic decision making. About us The Department of
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(masterexamen) of 120 credits or a Master’s degree (magisterexamen) of 60 credits* in Mechanical engineering with focus on production systems or computer science with focus on software integration or data flows
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collaboration with other leading research groups, in Sweden and in several other countries, which provide complementary expertise in materials synthesis and/or computer simulations. Qualifications We are looking
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. * Applicants who have not yet completed their Doctoral degree are welcome to apply, provided that the degree will be awarded no later than June 15, 2026. Has experience with computational methods, programming
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We are looking for a postdoc to join our team at the Division of Production Systems at the Department of Industrial and Materials Science, Chalmers University of Technology . Become part of our innovative group and contribute to exciting research in the Manufacturing field on Digital Twins...
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skills in English Ability to work effectively as part of an interdisciplinary team Ability to plan and execute scientific studies from concept to implementation, including manuscript preparation Merits
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science engineering, and energy research - with cutting-edge industrial research projects. We address a broad spectrum of experimental, computational, methodological, and theoretical challenges, from
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questions about the particles and forces governing our Universe to energy-related research. The methods of our investigations are also diverse and complementary, and range from theory and computer simulations
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outcomes. A short research plan describing how your background and research interests can be integrated within the geometry assurance framework. Use the button at the foot of the page to reach the
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the application of machine learning to optics, touching upon aspects of computational electromagnetism and inverse design. Information about the project and division Structured optical materials, such as