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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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of the art equipment for bacterial molecular research and analytical chemistry. Responsibilities and qualifications We seek an enthusiastic and self-motivated candidate to study plant-microbe interactions, and
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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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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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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 ready to push the boundaries of innovation and engineering excellence? Join our PhD program and tackle cutting-edge challenges in future district energy design. We seek a