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university deep tech startups, carry out independent, high-quality research leveraging this data, and engage with stakeholders in the Danish and international deep tech arena. Responsibilities and
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characterized by collegial respect and academic freedom tempered by responsibility. You will join DTU Entrepreneurship - a dynamic center at the Technical University of Denmark dedicated to research, teaching
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Computational Fluid Dynamics (CFD) algorithms by leveraging energy-efficient hardware within the open-source finite-difference framework Xcompact3d. You will perform high-fidelity simulations of large-scale wind
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to engage in pioneering research, collaborate with a large, dynamic and multidisciplinary team, and advance the field of quantum computing through innovative algorithms and technologies. This is an exciting
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optimization, for enhancing light trapping in nanostructured thin-film solar cells. Your role will focus on developing and applying large-scale electromagnetic simulations to identify optimal nanostructured
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robust models – and for clinicians, whose goal is to determine when to trust the models. We therefore seek candidates who have strong technical background in working with large-scale deep learning models
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interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer
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Job Description At the Technical University of Denmark, Department of Energy Conversion and Storage (DTU Energy) we are looking for a postdoc to work on novel modeling of new magnetic composites
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area at the Lyngby Campus of the Technical University of Denmark together with 19 other institutes within the technical sciences. We link natural science closely with the development of new technology
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at the Department of Physics at the Technical University of Denmark (DTU) here: www.surfcat.dtu.dk . Should you have any queries regarding the positions, please contact Professor Ib Chorkendorff at: icho@dtu.dk