174 programming-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Technical University of Denmark in Denmark
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. We plan to have first interviews Thursday, 21 August 2025 and second interview Thursday, 28 August 2025. If you would like additional information about the position, please contact Head of Data
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people DTU develops technology for people. With our international elite research and study programs, we are helping to create a better world and to solve the global challenges formulated in the UN's 17
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capture simulation. You have strong programming skills and are familiar with thermodynamics and process simulation. As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a
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programmes, especially in areas such as: Embedded systems and digital design, Hardware/software co-design, Dependable and real-time systems, Operating systems and system-level programming, Verification and
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design to testing, programming neural interfaces, neural data analysis. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and
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some basic Danish. In addition, we are looking for people with experience or knowledge with one or more of the following topics: Proficiency in system programming languages like GO, C#, Python, Java, and
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of the very large wind-energy related research initiatives at EU level such as European Energy Research Alliance (EERA) Joint Programme Wind. DTU Wind and Energy Systems currently has 4 divisions, namely: i
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the area of natural science The ability to work independently and plan complex tasks A collaborative mindset and willingness to engage in a large, international, and cross-disciplinary team Fluency in
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, development & scientific advice and provides educational programs and service to society. We are working to develop new environmentally friendly and sustainable technologies, methods and solutions, and to
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or optimization. Proven experience with programming and data analysis tools. Fluency in Python, including experience writing data analysis scripts and model training code. Experience with scientific computing and