16 finite-element-analysis Postdoctoral positions at Chalmers University of Technology in Sweden
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the design and analysis of learning-enabled systems. At STAR, we tackle key questions like: - How can we build systems that are both intelligent and inherently trustworthy? - What methods ensure reliability
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on experimental data. Main responsibilities Pursue your own research related to the project. Develop and implement material models, finite element codes, and calibration procedures. Disseminate research through
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merging time-domain Finite Element Analyses for the structure and subgrade with a vehicle model. The focus will be on incorporating accumulation models for ballast and subgrade that incorporate (cyclic
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, medical analysis and treatment, material processing, etc. You will be given the opportunity to work in one of the world-leading groups in the area and combine device characterization with simulations
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. Project overview The project involves applying advanced statistical analysis, machine learning techniques, and modeling approaches such as agent-based modeling to analyze diverse climate and socioeconomic
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more appreciated and safer. About us In the Crash Analysis and Prevention team at the Vehicle Safety Division , Department of Mechanics and Maritime Sciences , we combine behavioral science, technology
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on recycling technologies such as aqueous chemistry, solvent extraction, and high-temperature processes to recover valuable elements from batteries, electronic waste, and metallurgical residues. These recovered
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, spatial analysis, computational modeling, is highly meritorious. Documented scientific skills, including demonstrated ability in independent research, publishing in top journals and presenting in
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Python and MATLAB Documented experience with analysis of complex scientific data e.g. through machine learning What you will do execute experimental tasks, such as planning of experiments alone or together
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applications, specifically targeting the prognosis and risk prediction of Heart Failure (HF) in patients. This research integrates AI safety, explainability, and multimodal medical data analysis to enhance