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foundations to industrial and scientific applications. The project will be conducted at the Machine Learning and Decision Making Lab , which focuses on advancing the theory and practice of machine learning and
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control engineering at both undergraduate and graduate level at Chalmers, including within the master’s programme Systems, Control and Mechatronics. About the research project High-power charging is
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methods that help shape dependable digital infrastructures. You will be joining a highly collaborative and international environment spanning the Functional Programming and Formal Methods units. We conduct
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parameterized human model spanning diverse demographic groups, with applications in autonomous vehicle safety, transport infrastructure planning, and rehabilitation aid design. The insights gained are also
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How fast can new climate technologies grow and what can policy realistically do to accelerate them? Join the Energy Technology and Policy group at Chalmers as a postdoctoral researcher and help
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, Infrastructure and Cybersecurity, and Graphic Design and Web Development. We also offer a popular master’s programme in Cybersecurity. For more information, visit Department of Computer Science and Informatics
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projects within the lab’s research program Perform in vivo calcium imaging and behavioral experiments Analyze neuronal and microglial activity datasets (e.g., calcium imaging) Conduct immunohistochemistry
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Join us at the Chalmers University of Technology, Department of Architecture and Civil Engineering and Department of Environmental and Energy Science to help advance knowledge in the system solution
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), analyse their structure from the ensemble to single molecule level, and apply our findings to design new nanoparticles to study, diagnose and treat a range of diseases. We place particular focus on using
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application! Work assignments The project's contribution will lie at the intersection of random matrix theory and statistical inference theory, with applications in several fields of science. Special emphasis