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application! Work assignments Position description This advertisement is for one to two postdoc positions on using machine learning and causal inference to evaluate the impact of local development programs in
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PhD thesis in applied physics. Excellent collaboration skills. Excellent documented written and oral English skills. To qualify for the position of postdoc, you must hold a doctoral degree awarded no
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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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techniques to improve and speed up the simulation process. Further, the postdoc fellow is expected to design, implement, and execute experiments, as well as gather and analyze results. To the extent of a
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technologies (ISAC). This is a growing research area with many open challenges and opportunities. As a postdoc, you will engage in applied research, including in collaboration with leading industry partners. You
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We are pleased to announce a postdoctoral position focusing on developing advanced computational techniques to reduce the complexity in simulating lake physical dynamics at scale. Borrowing from
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Karlstad University, Physics Position ID: Karlstad University -Physics -POSTDOC [#29463] Position Title: Position Location: Karlstad, Varmland, Sweden Subject Areas: Physics / Condensed Matter
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computational behavior modeling, vehicle automation, crash causation, and micromobility. We collaborate with Swedish industry (e.g., Volvo) and international stakeholders (EU projects; academia, industry). We
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(Physics, Applied Physics, Nanotechnology, Computer Science, Engineering, or equivalent), obtained no more than three years prior to the application deadline (according to the current agreement with
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, Computing Science division, yinan@chalmers.se *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with