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MagTense framework, and will be used in powering future beyond-state-of-the-art simulations within magnetism. Qualified applicants must have: PhD degree in physics, astronomy, engineering, computer
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backgrounds in: Civil, Architectural, and Environmental Engineering, Computer and Software Engineering, Computer Science, or a related discipline such as Mechanical Engineering. Candidates must have completed a
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their use in model validation Knowledge of wind farm parameterizations in mesoscale models Experience with wind resource assessment and site suitability, including WAsP and WEng software Experience using
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DTU Wind and Energy Systems, you will break new ground at the absolute forefront of what is possible using computer vision technology for wind energy applications. At DTU Wind Energy and Systems, we
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partners Engage in teaching and supervision as required Expectations of qualifications PhD in Bioinformatics, Computer Science, Physics, Engineering, Bio-engineering, or equivalent Excellent track record in