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measurements, with advanced modeling techniques developed by our team to investigate the key density statistics across the scales relevant for star formation. These statistics provide unique constraints
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project “COPD-HIT”, an international multicenter project aimed at developing and validating an in vitro loading model against in vivo blood and muscle adaptations (biopsies) from individuals with Chronic
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cities in implementing effective climate action strategies through spatial planning. The appointee will be responsible for leading the modelling work on this project and coordinating the research and
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standards. About the research project The postdoctoral project will focus on precision tests of low-energy strong interactions via the ab initio modeling of open-shell, nuclear many-body systems and Bayesian
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physicist in the area of plasma physics and numerical simulation of models for magnetised fluids. About us This position sits right between two research groups at Chalmers: the Plasma Theory group
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, kinetic modelling, and computation fluid mechanics simulations. The new employee will have main task on the experimental part but also being involved in other parts as well. Work duties The main duties
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analysis, statistical modelling, linear mixed models, and machine learning among others. The position is well suited for an individual interested in quantitative genetics and data analysis that wishes
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validated predictive models of pavement deterioration. The position is research-focused, with opportunities to strengthen independence and build qualifications for future academic or industry careers
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application! Work assignments Your work duties will include research in the area of theoretical modelling of disordered magnetic materials. This involves method development, large-scale computations, and
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of large-scale machine learning models (e.g., LLMs) in a meaningful way, we, therefore, need new scalable methodologies that can efficiently and accurately capture, represent, and reason about uncertainties