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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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Job Description Do you want to help research and develop an environmentally friendly new cooling technology to enable Power-to-X? As part of a large EU-funded project, we will develop a cryogenic
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Job Description The Quantum Physics & Information Technology (QPIT) group at DTU Physics is seeking exceptional individuals to join our team as PhD students. We specialize in quantum information
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of the capacity of this large program, you will work in close collaboration with two PhD students on that particular project as well as the rest of the research group at DTU Physics that counts a total of 56 people
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detector models and training artificial neural networks (ANN) using synthetic data for advanced radiation sensor readout. Responsibilities and qualifications Key Responsibilities: Further development of a
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on the most advanced theories, models, using first-hand cases and data from the wind energy industry, to lift our understanding of wind and wave characteristics during storms in the presence of wind farms
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printing and make more efficient, lower noise and higher power PICs. You will get to work in our large cleanroom mostly on III-V compound semiconductors and be part of a strong team. Responsibilities and
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of the capacity of this large program, you will work in close collaboration with two PhD students on that particular project as well as the rest of the research group at DTU Physics that counts a total of 56 people
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(and other thin shear) flows in particular, as well as on turbulence in general is highly beneficial Experience and proficiency with big data handling, parallel processing, GPUs (e.g. CODA) and analysis