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machine learning, computer vision, and materials science. The focus of this position is on development of neuro-symbolic models for the effective behaviour of the complex microstructure of recycled
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energy use and minimizing environmental impact. This collaborative effort brings together expertise in materials science, physics, polymer chemistry, and composite mechanics, with a particular emphasis on
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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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. Moreover, you will be supported by the Wallenberg Wood Science Center (WWSC), a leading research center striving for scientific excellence with a focus on developing new materials from trees. The center
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of postdoc, you must hold a doctoral degree in chemical engineering, materials engineering, thermal engineering or mechanics, awarded no more than three years prior to the application deadline. The position
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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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, 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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environment The Müller Research Group at the Department of Chemistry and Chemical Engineering of Chalmers University of Technology works at the intersection of physical chemistry and materials science, with a
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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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Contribute to research that supports the development of sustainable bio-refineries. This project focuses on producing chemicals and fuels from waste materials through the development of novel