17 gpu-computing-"Prof" Postdoctoral positions at University of Southern Denmark in Denmark
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”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with room for flexibility in both directions. We are seeking a highly motivated individual with a PhD in computer
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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new diagnostic and rehabilitation strategies. The position is funded by the Independent Research Fund Denmark. It involves a collaboration between SDU (Profs. Tobias Neher & Søren Krogh Andersen
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is funded by the Independent Research Fund Denmark. It involves a collaboration between SDU (Profs. Tobias Neher & Søren Krogh Andersen), Oldenburg University (Prof. Stefan Debener), the Eriksholm
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Job Description A postdoc position focusing on structural and functional characterization of ciliary protein complexes derived from human cells is available in the research group of Assistant Prof
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contribute to the teaching activities of the section of Mechanical Engineering by teaching 1-2 courses per semester. You will focus on developing and extending in-house computational codes based on open-source
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funded by grants from Novo Nordisk Foundation and Independent Research Fund Denmark (Principal investigator: Prof. Trine Munk-Olsen). Research tasks The postdoc will contribute to the TREAT2 project, which
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position as postdoctoral researcher for 2 years in the area of computational nanophotonics, with a focus on semi-analytical and numerical methods for treating electron-beam spectroscopies. We are looking
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. Introduction The SDU Software Engineering section at the Maersk Mc-Kinney Moller Institute (Faculty of Engineering) invites applications for a 2-year postdoctoral position in the intersection of edge computing
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. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power electronics, and self