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. We are a team of currently ca. 15 researchers and engineers, specialized in robot solutions involving modelling, simulation, and control of advanced robot technologies (systems and services
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aero-elastic analysis tool for AWE devices. Such a model is meant to evaluate the unsteady dynamics of the aircraft, while simultaneously taking account of unsteady aerodynamic forces, elastic
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and European companies and international academic partners. The AI4OR group focuses on solving complex problems, which require high-level modelling, data analysis and management capabilities as
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engineering, operational research and energy systems modelling through dedicated courses and/or related work. The following further qualifications will be considered in the assessment: Strong background and
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DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
The position is part of DTU’s Tenure Track program. We provide you with the best conditions including a mentor, state-of-the-art research infrastructure, teacher training and relevant networks
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spanning a wide range of fields including applied cyber-physical systems, advanced mechanical systems, modelling and mechatronic prototyping. Your profile To complement our team, we are looking for one
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Industrial Robots (MIR) and 120+ other companies. We are specialized in robot solutions involving modelling, estimation, and control of advanced robot systems. The group is involved in a variety of national
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Modelling using CAD design and simulations, and mathematics. A strong motivation for collaborative projects within academia and industry Proficiency in Danish is required due to collaboration with local
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. The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made
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models without affecting overall performance. These algorithms will tackle critical challenges like ensuring compliance with GDPR's "right to be forgotten," removing biases for fairer decision-making and