247 parallel-computing "Technical University Of Denmark" Postdoctoral positions in Denmark
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Job Description Are you passionate about pushing the frontier of catalysis science? The Center for Visualizing Catalytic Processes (VISION) at the Technical University of Denmark (DTU) is offering
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scientific and industrial network? The Center for Energy Resources Engineering (CERE) within the Department of Chemical and Biochemical Engineering of the Technical University of Denmark (DTU) welcomes
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Job Description We are looking for two highly skilled and motivated scientists for our program within carbohydrate chemistry, glycobiology, and vaccine design. You will join the team working
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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
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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
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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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Job Description Do you want to contribute to a future where we can use high-mobility materials to understand diseases in the human brain by measuring the tiny magnetic fields created by neurons in the brain? At DTU we are targeting exactly this, and we are looking for a dedicated postdoc to...
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Job Description DTU Department of Wind and Energy Systems inaugurated Risø HPP in October 2024. Risø HPP is a Hybrid Power Plant facility based on two 225kW wind turbines, two 185kW PV systems and a 1155kWh / 250kW battery system. The facility is located on DTU’s Risø campus. We are right now...
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for effective system-level integration. In parallel, SOEC cells are inherently sensitive to impurities originating from feed gases, system components, or cell materials, which can interact with electrodes and
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qualifications In this project, we advance an AI-driven T cell-targeting strategy based on de novo-designed peptide-MHC (pMHC) binding proteins. Using computational protein design, we create synthetic recognition