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advanced finite element models and simulation techniques. This is enabled by digital and sensor technologies such as artificial intelligence, computer vision, drones, and robotics, which are utilized
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farm-scale modelling of nutrient flows. Food security, climate change and loss of biodiversity represent three of today’s major societal challenges. Finding solutions for all these challenges requires
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potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat transfer and
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Senior Researcher or DTU Tenure Track Researcher or Associate Professor or DTU Tenure Track Assistant Professor in Wind Farm & Hybrid Power Plant Simulation, Design & Control We invite applications
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Experience with numerical simulation, statistical estimation, or probabilistic modeling. Programming proficiency (Python, Matlab or C++), especially for numerical experiments. Interest in connecting theory
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, which are based on AAU's problem-based learning model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within
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–microstructure–property–performance simulation platform, and (iii) a theoretical framework for design of AM-defect tolerant microstructures. The focus of the current postdoc position will be on applying all
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, process simulation Strong modelling, both multi-physics and data driven, skills Structured, analytical, and user-focused Proven ability to work across disciplines and collaborate with industrial and
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including applied cyber-physical systems, artificial intelligence, embedded computing, mechanical structure integrity and life assessment, heating and cooling, renewable energy systems, and modelling and
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research on air pollution and noise modelling Develop and apply innovative models and data analytics using a mix of ground-based, satellite, and simulated data Enhance interdisciplinary collaboration with