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to enhance efficiency, power density, and performance in applications such as high-performance computing (HPC) systems and artificial intelligence (AI) accelerators. Responsibilities and qualifications As a
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for energy applications. You will work in a highly collaborative and interdisciplinary environment, which comprises, among others, experts with backgrounds in physics, chemistry, materials, and computer science
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Engineering, Technical University of Denmark (the TopOpt group , and CAMM ). The PhD-project is funded through the “Optimized incisions and sutures for efficient wound healing“ (OPTCUT) project granted by
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to obtain) a master's degree in physics, astronomy or engineering. Applicants with previous experience in observational astrophysics, strong programming skills and knowledge relating to data reduction
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and peptide phase separation and aggregation associated with human neurodegenerative diseases. The applied methods include protein engineering as well as various spectroscopy, confocal and electron
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Job Description Are you experienced in deep learning, computer vision, and probabilistic modeling? Join our high-profile EU consortium for the AUTOASSESS project at DTU Electro, where we have
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, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. About the AWETRAIN Training and Research Program
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drugs. We offer a highly creative, collaborative, and ambitious work environment. This project will be part of the IDUN section, led by Prof. Anja Boisen at DTU Department of Health Technology. IDUN is a