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Job Description Are you looking to grow your career in intelligent embedded systems and edge computing? Join the Embedded Systems Engineering (ESE) research section at DTU Compute , where your
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with Bioneer, DTU Bioengineering, DTU Health Tech, and KU, DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells
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intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. We offer a multidisciplinary, international, and friendly atmosphere
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of circumstances under which university scientific advice is given to private companies; A background within scientific computing, using tools such as R, Julia or Python; Knowledge of using data science in relation
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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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Track program. Read more about the program and the recruitment process here . The position is a full-time position, starting from July 1, 2026 (or according to mutual agreement). You can read more about
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reproducible research, collaboration, and knowledge sharing. You should meet the following qualifications: A PhD in Electrical Engineering, Robotics, Computer Science, Artificial Intelligence, or a closely
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Postdoctoral Positions in PFAS Analytics, Degradation, and Thermophysical Properties - DTU Chemistry
computational determination of thermophysical and physical–chemical PFAS properties. PFAS molecules are defined by the presence of CF₂ or CF₃ groups and exhibit a wide range of unique characteristics, including