104 parallel "Computer Vision Center" "Computer Vision Center" Postdoctoral positions in Denmark
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Postdoc position will focus on natural and agricultural landscapes, and mainly contribute to the Center for Landscape Research in Sustainable Agricultural Futures (Land-CRAFT) with the vision to provide a
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activities under ERC Synergy Grant IRAstro and DNRF Center of Excellence for Interstellar Catalysis – InterCat. This combined project aims at elucidating how molecules on interstellar dust grain
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detailed at the end of this advertisement. Requirements The candidate must have a PhD degree in mathematics, physics or computer science. Situation of the position The position at the SDU Quantum Hub, will
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detailed at the end of this advertisement. Requirements The candidate must have a PhD degree in mathematics, physics or computer science. Situation of the position The position at the SDU Quantum
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-based surrogate models. Experience with high-performance and parallel computing. Familiarity with digital twins and real-time deployment of predictive models is an advantage. Who we are The two
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A three-year postdoc position is available in modelling of solid-state NMR experiments from 1 October 2026 (or soon thereafter) in the Danish Center for Ultrahigh-Field NMR Spectroscopy at the
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department here and about the faculty here . PACE - Lundbeck Foundation Parkinson’s Disease Research Center You will be also part of PACE, the newly established Lundbeck Foundation Parkinson’s Disease
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has at least the following qualifications - Applicants should hold a PhD in Computer Engineering, Computer Science, or similar - Cyber-physical modelling and simulation - Digital Twins - Security
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professional scientific basic research. You can read more about the department here and about the faculty here . PACE - Lundbeck Foundation Parkinson’s Disease Research Center You will be also part of
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to the Center for Landscape Research in Sustainable Agricultural Futures (Land-CRAFT) with the vision to provide a novel framework that tests and assesses the sustainability of agricultural production