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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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the coastal region are largely unknown. SHORE aims to bridge this knowledge and competence gap and develop the first model capable of accurately simulating both on and offshore transport of sediments and
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. Responsibilities and qualifications As part of the DECIDE project you will be working on developing next generation of tools for decision making under uncertainty. You should have at least basic knowledge about
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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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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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this knowledge to society and future generations of engineers. The Department has approximately 300 staff from more than 30 nationalities. Technology for people DTU develops technology for people. With our
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, and contributing to interdisciplinary knowledge exchange. Contribute to manage research projects and to acquisition of national and EU funding. Qualifications As a formal qualification, you must hold a
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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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limited observational data. WaterColor seeks to fill these critical knowledge gaps through an integrated approach that combines field observations, satellite remote sensing, and advanced optical techniques
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Job Description If you would like to advance new knowledge about how generative AI is reshaping public sector work - and you have expertise in sociology of professions, STS, or public administration