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levels. Responsibilities and qualifications You are expected to be part of defining the teaching within the core areas of DTU Compute, including courses on probabilistic machine learning and its
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stakeholders, we can offer you a position in a progressive and international environment, where we work to support High Performance Computing (HPC) in Danish research. About the job In DeiC’s HPC department, we
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of Civil and Mechanical Engineering (DTU Construct). In this role, you will integrate advanced vision sensor technologies, materials science principles, and computational image processing methodologies
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student projects). Qualification You should have a background within deep learning, big-data, computer vision, or related fields, as well as experience in in-line process monitoring or similar areas
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computing- and cloud infrastructure – enabling research, innovation, and secure data-driven services across society. About DTU Computerome DTU Computerome is a national High-Performance Computing (HPC) and
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profile in Fluid Mechanics with a special focus on flows in wind farms and the interaction with wind farm control. Computational Fluid Dynamics will be an integral part of the scientific research including
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Engineering Thermodynamics is a generic discipline with many applications, we seek a candidate with a broad interest in applied thermodynamics and documented expertise in theoretical/modelling/computational and
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. Starting date is 1 August 2026 or according to mutual agreement. The position is a full-time position. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment