95 parallel-computing-numerical-methods-"Prof" PhD positions at Technical University of Denmark in Denmark
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acquisition and statistical methods is an advantage. Experience with numerical simulations (FEM). You must have a two-year master's degree (120 ECTS points) or a similar degree with an academic level equivalent
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commercialized by a DTU spin-out (Spectroinlets) - but we have to move beyond what we already have in order to enable automated detection of non-volatile products. This will be your main objective. In parallel
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Job Description Are you interested in the interrelationship between urban design and human mobility behaviour? Are you keen on using advanced computer science to help create more knowledge on how
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is expected to lead to the development of material evaluation methods and a structural monitoring framework to quantitatively assess the quality and robustness of concrete elements in infrastructure
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in machine learning and artificial intelligence Experience with numerical analysis and scientific computing Knowledge of power systems and renewable energy technologies Experience in power system
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, electronics, and neuromorphic computing. You will join an international collaboration between DTU, EPFL, and Max Planck, gaining unique opportunities to work at the intersection of materials science, physics
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sciences, and engineering. The PhD position is based in the Section for Bioinformatics, which focuses on developing and applying computational methods to solve complex problems in genomics, systems biology
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/multiqubit . The project is supported by an ERC Consolidator grant (€ 2.6 million) from the European Research Council (EU). Our research aims at exploring quantum information science at the nanoscale and
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, or management, and familiarity with qualitative and/or quantitative research methods Curiosity and motivation to explore how entrepreneurship can contribute to regenerative and systemic solutions to societal and
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-linear hydraulic behaviours, which pose significant computational challenges for large-scale planning and operational optimization. By leveraging the inherent network structure, the project aims to develop