145 computational-physics "https:" "https:" "https:" "Univ" positions at Nature Careers in Denmark
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developing the teaching program at the department. The candidate must hold a PhD in physics or equivalent and document the ability to teach physics at all levels of the University curriculum. The successful
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The Department of Physics, Chemistry and Pharmacy (FKF) at the University of Southern Denmark is seeking a strong strategic and visionary Head of Department to lead a department where
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The Department of Chemistry at Aarhus University invites applications for a non-tenure track Assistant Professor position in physical chemistry, with a focus on vibrational spectroscopy and its
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We are seeking applicants for a 2 year-postdoctoral position to join us in the Optomechanics group at the Department of Physics and Astronomy in order to work with nanoguitar optomechanical
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Assistant Professor position in Computer Science with a Focus on Interdisciplinary Data Science_3...
As part of expanding the Centre for Visual Data Science and the Centre for Digital Humanities, the Department of Mathematics and Computer Science at the University of Southern Denmark, Odense
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. We favor candidates with a degree in physics, chemistry or materials science. For Topic 1-3, candidates must have documented skills in atomic-resolution electron microscopy/spectroscopy
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A non-tenured Assistant Professor position in Computational Drug Design is available from 1 July 2026 for a fixed term of 3 years at the Department of Physics, Chemistry and Pharmacy , Faculty
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The Department of Biomedicine, Faculty of Health, Aarhus University invites applications for a postdoctoral position in Computational Spatial Proteomics and Multi-Omics Integration, starting 1
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The Computational Protein Engineering (CPE) group at The Novo Nordisk Foundation Centre for Biosustainability (DTU Biosustain) is developing novel methods to engineer proteins more effectively using
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at the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum