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Optimal Control Theory Strong programming skills in C++/Python/MATLAB Familiarity with parallelization and high performance computing (CPU and GPU friendly code) Experience with Machine Learning, generative
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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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internationally recognized team at Chalmers University of Technology and contribute to cutting-edge research in particle physics and quantum field theory, while collaborating with leading experts worldwide. About
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problems Interdisciplinary mindset bridging theory and experiment *for students with an education earned outside of Sweden, a 4-year Bachelor’s degree is accepted. The following experience will strengthen
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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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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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local structure and composition to catalytic behavior. By bridging atomistic theory and machine learning, the work will help explain activity trends and guide the rational design of alloy catalysts
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research. The methods of our 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