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the fields of control theory, artificial intelligence, and robotics. You will work alongside leading experts in the field, collaborate with national and international partners, and access state-of-the-art
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international PhD researchers, gaining access to dedicated training events, coding bootcamps, hackathons, and transferable skills workshops as part of the MSCA Doctoral Network programme. Based at DTU Wind’s
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possible thereafter. The project explores how moral reasons to worry about inequality and poverty are transformed when wealth becomes extreme and aims to build new theory on the morality of extreme wealth
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(or equivalent (120 ECTS points)) in civil or mechanical engineering. Background or strong interest in one or more of the following: Hydrodynamics (wave or coastal) Structural mechanics (nonlinear beam theory
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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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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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candidate, who will contribute to the development and implementation of the theory, and to applications in secure compilation. Further details on the planned research are summarized in the technical part of
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Danish master's degree) A strong motivation for advanced manufacturing and the ability to develop relevant theories and methodologies. Strong competencies in product assembly/disassembly, manufacturing
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, secure digital communication, medical technology, and new analytical methods. We use and develop basic theory, next-generation instrumentation, and software, and aim to make our data publicly accessible
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and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data