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To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than five years prior to the application deadline. PhD in business, engineering, or related field Good command of spoken
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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the following fields: mathematics, physics, computational science, or engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge
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of Computer Science, Electrical and Space Engineering as part of the national research program WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a
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radioisotopes to track sources and ages of different carbon components. The postdoc will lead the acquisition and analysis of aquatic water chemistry data, collected in different Arctic settings such as northern
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application! Work assignments The Division of Automatic Control at the Department of Electrical Engineering has a vacant post-doctoral position in the area of numerical methods for motion planning and
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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Computer science, Biostatistics, Bioinformatics, Neuroscience, or similar field. Proficiency in written and spoken English. Previous work with large-scale data analysis, integration and visualization. Proficiency in
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence subject (RAI) (www.ltu.se/robotics) at the Department of Computer Science, Electrical and Space
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of Technology to pioneer the next generation of biorefineries using marine and terrestrial biomass. This postdoctoral position offers the opportunity to develop innovative green processes for transforming