127 professor-computer-"https:"-"https:"-"https:"-"https:" positions at Technical University of Denmark in Denmark
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materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python
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interdisciplinary collaboration. This PhD project is focused on numerical simulation of resistance spot welding with existing electro-thermo-mechanical finite element modeling as a foundation. Computational fluid
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Job Description Join a young research group dedicated to transforming materials discovery from empirical exploration to predictive design. Our research program builds on a synergy of high-throughput
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Associate Professor
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are strongly encouraged to apply. Responsibilities and qualifications Your overall focus will be to strengthen the department’s competences within computational modeling of large-scale atmospheric processes in
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling
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. Experience with automated crystallization platforms and imaging systems. Strong understanding of data storage systems, automation, and computational workflows. Excellent organizational, communication, and
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Job Description Migraine affects more than 15% of the global population and remains inadequately treated despite advances in biologics and receptor-targeting therapies. Emerging computational
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interaction, contact-rich manipulation, and force-aware behaviors Integrate robotic manipulators with mobile bases, perception systems, and onboard sensors Program and deploy robotic systems for experimental
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harnessing microorganisms for sustainable production of nutritious fermented foods. The project is a collaboration with Professor, Sang Yup Lee from KAIST in South Korea, a world-leading expert in Metabolic