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This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research effort at the intersection of machine learning and materials science. The project brings together PhD
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and what it is like to work at SLU at https://www.slu.se/en/about-slu/work-at-slu/ . Subject Area The subject area for the position is forest technology, with focus on logistics for forest raw material
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In this position, you will be given the opportunity to contribute to world-leading research on quantum technology. You will interact with researchers designing and fabricating advances quantum
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for candidates with a doctoral degree that is a maximum of three years and in one of the following areas: material science, polymer science and technology, chemistry, chemical engineering, wood science, or related
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engineering with focus on recycling and reusing of building materials. We are looking for someone with very good English skills in writing scientific articles and orally presenting research results. Assessment
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great advantage: Forest and wood production processes Wood construction Furniture manufacturing Wood material science Machine learning Process simulation and optimisation The postdoctoral fellow is part
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, Chemical Engineering, Electric Power Engineering, or Material Science Be highly motivated and able to work independently and in interdisciplinary settings Have experience or interest in battery technology
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analysis, and building materials. Research in Forestry and Wood Technology covers a broad scientific field, from forest management to finished products covering all value chains, including the development
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The Faculty of Technology has a broad range of activities spanning nine different departments through which Linnaeus University conducts education and research. The educational programs in
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of Textiles a central hub for the textile sector’s skills development. Here, design, technology, production, economics, and marketing converge—forming the strength of our textile research, innovation, and