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in nonlinear continuum mechanics, constitutive modeling, soft tissue modelling or finite element analysis and a passion for advancing the understanding of brain injury? Then this could be a position
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Chalmers University of Technology is looking to hire a postdoc for a minimum of two years, with the possibility of a one-year extension, to work on single-nanoparticle microscopy using a planar
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responses, governance models, and ethical frameworks shaping the integration of AI in higher education. We especially encourage research that combines socio-technical perspectives with quantitative methods
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Postdoctoral Position and Postdoctoral Fellowship (2yrs) in Intracellular Host-Pathogen Interactions
trachomatis and either host cell-autonomous immunity or advanced culture models. ENVIRONMENT The postdocs will join the group of Dr. Barbara Sixt (Sixt Lab ), a highly international research team that is
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Linköping Referensnummer IFM-2026-00054 Work assignments We are looking for a postdoc who is motivated not only by solving established problems, but by exploring new ways of formulating them
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diagnosis of gas turbines. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components
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. The project focuses on developing an integrated approach that combines machine learning techniques with physics-based models to estimate the health of various system components. The aim is that fault diagnosis
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, statistics, and data science with strong connections to engineering, natural sciences, and industry. About the research project We are looking for a postdoc in life science artificial intelligence (AI
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research in the field of electrical machines and electrical modelling, we are now looking for a Postdoctoral Fellow with ambitions within the academy for a two-year employment. Subject description
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position within a Research Infrastructure? No Offer Description Job description This project focuses on modelling, simulation, and decision support for AI-based penetration testing. A central premise is that