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. As an employee in the Turbine Response section, you are expected to be fluent in aeroelastic simulations, data science and analytics and have a solid knowledge of turbulence-turbine interactions
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interest in information processing in humans and computers, and a particular focus on the signals they exchange, and the opportunities these signals offer for modelling and engineering of cognitive systems
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, open-source background checks may be conducted on qualified candidates for the position. DTU Civil and Mechanical Engineering develops and utilises science and technical knowledge for the benefit of
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yield. Collaborate across DTU research groups to assess nutritional, functional, and sustainability aspects of yeast-derived ingredients. Participate in knowledge transfer with partners both in relation
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-source background checks may be conducted on qualified candidates for the position. DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and
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expertise in analysing/ training models on biological or chemical datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in
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. Knowledge of compilers, especially an LLVM-based compiler tool chain, program analysis, and computer architecture. Knowledge of real-time systems. Systems programming and C/C++. We offer DTU is a leading
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Mechanical Engineering develops and utilizes science and technical knowledge for the benefit of society and sustainable development. We undertake research, education, innovation, and scientific advice