202 parallel-computing-numerical-methods-"Queen's-University" Postdoctoral positions in Denmark
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The Department of Computer Science at Aarhus University invites applications for a 24-month Postdoctoral Research Fellow in Explainable AI interested in interdisciplinary research between computer
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The Institute of Mechanical and Electrical Engineering at the University of Southern Denmark (SDU) invites applications for a 2-year position as a postdoctoral researcher within spintronic computing
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Institute of Mechanical and Electrical Engineering at the University of Southern Denmark (SDU) invites applications for a 2-year Postdoctoral Researcher position within the newly funded QUANTRONIC
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the Department of Electrical and Computer Engineering, Aarhus University, where we are advancing communication-efficient and distributed foundation model inference across the computing continuum
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Join us at the Department of Electrical and Computer Engineering at Aarhus University for a two-year postdoctoral position focused on physics-driven machine learning for ground-based, airborne, and
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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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Two postdoc positions in Thermofluid Design and Digital Modeling of Cooling Systems for Electroch...
parallel computing. Familiarity with digital twins and real-time deployment of predictive models is an advantage. Who we are The two postdoctoral positions will be hosted across the two complementary
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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research, currently
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with Poleno Jupiter instruments, with data obtained with DNA methods and data obtained with a Hirst trap. • Numerical models used by the group covers the particle dispersion model HYSPLIT in
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Alternaria alternata and Phytophtora infestans You will work with data obtained with Poleno Jupiter instruments, with data obtained with DNA methods and data obtained with a Hirst trap. Numerical models