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machine learning algorithms/data science methods for clinical proteomics data. Further, during the enrollment process, you will define together with your supervisors (main and co-supervisor) additional
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-film solar cells.” You will become part of an enthusiastic team working closely with collaborators at DTU Physics and DTU Nanolab to advance neural network-based methods for materials discovery. Project
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, chemical engineering, physics, materials science, or another relevant field. They demonstrate enthusiasm, creativity, persistence, and a sharp eye for detail. A collaborative mindset and the ability
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technology and the Arctic. The research into oceanography integrates biological, physical and chemical parameters’ interactions in the ocean, ranging from individual plankton to regional seas. We focus
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engineering, statistics, physics, mathematics, data science, informatics or similar degree with an academic level equivalent to a master's degree. The candidate should preferably have: Dedication and the desire
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. The project is highly interdisciplinary and we expect that you enjoy teamwork. You are expected to have a background in physics, materials science and/or microfabrication technologies. You are highly
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technologies. The technologies include fuel cells, electrolysis, power-to-x, batteries, and carbon capture. The research is based on strong competences on electrochemistry, atomic scale and multi-physics
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), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual