8 computational-materials Postdoctoral positions at Chalmers University of Technology in Sweden
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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The group of Sophie Weber (Condensed Matter and Materials Theory Division of Physics, Chalmers University of Technology) invites applications for a postdoctoral position on the first-principles
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abundant side streams into high-value bio-based materials, contributing directly to the circular bioeconomy. You’ll work with cutting-edge bioprocessing tools, collaborate with leading European partners, 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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to develop solutions with real world relevance and impact. This project will be carried out in close collaboration with researchers from the Division of Material and Computational Mechanics at IMS and the
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to increase catalyst activity and selectivity. The computational part of the project will investigate relevant reaction paths and evaluate spectroscopic signatures that can be compared to a parallel
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, computational materials science, computer science, or a related field, awarded no more than three years prior to the application deadline*. Background in physics-based battery modelling and/or machine learning is
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qubits (i.e. the building blocks of the quantum computer) —caused by ionizing radiation from cosmic rays and radioactive materials— which tend to be correlated and cannot be corrected using existing error