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mechanics (nonlinear beam theory, fluid-structure interaction) Desire to develop interdisciplinary expertise across hydrodynamics and structural mechanics. Experience with or willingness to learn: Programming
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virtual/augmented/extended (VR/AR/XR) environments to support learning of scientific concepts and practices at the university-level. This work package investigates how such cutting-edge educational
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: SIMD performance engineering. Machine Learning. Communication-efficient
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cutting-edge data science? And would you like to be part of a newly formed research collaboration between DTU and Novo Nordisk? Then you could be our new Postdoc. Read on to learn more! About the PhD
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proficient in ROS/ROS2, Python and/or C++/C# Knowledge and/or experience within one or more of the fields of acoustic sensing, hydrodynamics, and machine learning is a plus. You have strong communication
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and machine learning, you will help develop new methods for understanding complex failure mechanisms—an area where existing industrial knowledge remains limited. The project will be executed in three
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be obtained from Prof. Patrizio Mariani on mail pat@aqua.dtu.dk https://www.aqua.dtu.dk/english/research/research-areas/observation-technology If you are applying from abroad, you may find useful
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degree at the highest international level. You will become part of an active learning environment, in Denmark as well as abroad, and you will obtain an extensive academic knowledge e.g. by participating in
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multidisciplinary research in energy markets, optimization, game theory, and machine learning. Our team of 13 members (link ), from 10 different nationalities, values diversity and includes experts from a range of
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is available from 01 August 2025 or later. You can submit your application via the link under 'how to apply'. Title: Bio-integrated carbon capture and utilization of flue gas CO2 to e-methane