29 parallel-computing-numerical-methods Postdoctoral research jobs at Chalmers University of Technology in Sweden
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Shape the future of high-performance computing. The European DARE project is pioneering next-generation processing technologies, leveraging RISC-V and Vector architectures, and we're looking for two
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We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
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Do you want to join us in pioneering innovative computational modelling techniques, to explore and enhance metabolic processes? Project Overview Metabolism is a fundamental hallmark of life, and
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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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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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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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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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, 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
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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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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