45 applied-physics-"https:"-"https:"-"https:"-"https:"-"OSU" PhD positions in Denmark
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Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be applied. This means that after the application
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We are seeking a highly motivated researcher in Physical Oceanography to join our interdisciplinary marine research environment. The successful candidate will contribute to cutting-edge research
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is available from 01 January 2027 or later. You can submit your application via the 'Apply' button above. Title PhD Position in Physical AI: Adaptive Foundation Models for Robotics Research area and
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Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be applied. This means that after the application
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engineering, energy engineering, engineering physics, or related discipline, as well as a keen interest in computational modelling and multiphysics analysis. You should be motivated to pursue fundamental and
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energy engineering, mechanical engineering, control, applied mathematics, physics or a related field. But more importantly, we are looking for someone who: Has a strong curiosity about how complex systems
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2 Sep 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Physics Research Field Physics Engineering Researcher Profile First Stage Researcher (R1) Positions PhD
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supports the transition to renewable energy and a circular bioeconomy. However, the increasing use of imported animal-derived biomass creates connected biosecurity interfaces between European suppliers
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technical competencies. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be applied
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moulding, and you will test specific mechanical and physical properties in order to generate high-quality data for training and validating Machine Learning models. You will use these models to analyse how