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://www.chalmers.se/math/ At the division of Applied Mathematics and Statistics we conduct research within probability theory and its applications, the theory and implementation of finite element methods, inverse wave
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team focused on improving the efficiency, resilience, and sustainability of future transport systems. In the team, we are interested in state-of-the-art models, methods, and technologies to enhance
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of existing structures. However, despite major research efforts, the effect of cracks on durability is still debated. Ongoing long-term tests will be combined with accelerated testing methods. X-ray imaging is
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Chalmers University of Technology focused on the recycling of carbon fibre composites. The project aims to develop a novel method for recovering fibres using magnetic fields, with the goal of lowering
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and calibration of reports from various sources. Collect and analyse large-scale cross-industry accident data using FRAM (Functional Resonance Analysis Method) within LLMs to identify human-, technical
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on that knowledge, we engineer biological systems to produce foods, drugs and chemicals in an innovative and sustainable way. We also use this knowledge to pioneer new methods for prevention, diagnostic and treatment
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positive, open-minded, and collaborative team dedicated to advancing building physics research methods. Our goal is to develop resource-efficient buildings that offer excellent indoor environments and
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stiffness or stretchability. You will collaborate closely with PhD students and Postdocs in our group as well as external partners to study the mechanical, electrical, and electrochemical properties
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thermal and materials characterization including using RAMAN, FTIR, DSC, DMA, TGA, LFA and 3-Omega measurement methods etc. We seek candidates with the following qualifications: To qualify for the position
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, which specializes in climate dynamics, numerical modeling, greenhouse gas emissions, and data-fusion methods, including data assimilation. This position offers opportunities for collaboration with both