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Job Description Are you ready to launch your scientific career by addressing the urgent need of renewable energy integration? At DTU Construct you will break new ground at the forefront of what is
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for use in health science. The goal of this PhD project is to expand on these computational methods and their formal foundations and to create efficient algorithms and implementations of them. We
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, geophysics, materials science, computation, engineering, or a related discipline. Hands-on research experience in one or more of the following areas will be considered an advantage: Confocal microscopy and
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Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure? No Offer
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the past years, DTU Chemical Engineering has made significant investments in digitalizing our experimental infrastructure, including a large-scale pilot plant and the Coatings Science and Technology
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Are you eager to advance your scientific career at the cutting-edge of quantum materials and nanotechnology? DTU Physics and DTU NanoLab offer a fully funded PhD position to develop groundbreaking
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computational research. Willingness to join multi-national secondments both in academic and industrial environments. Creative, innovative and driven by scientific curiosity. Effective communication and teamwork
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activities, i.e., teaching and supervision of BSc and MSc student projects at DTU. We are looking for candidates with Strong skills in AI, Machine Learning, and/or Data Science, preferably with experience in
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/multiqubit . The project is supported by an ERC Consolidator grant (€ 2.6 million) from the European Research Council (EU). Our research aims at exploring quantum information science at the nanoscale and
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for Science & Technology (KAIST), and an external stay at KAIST will be included as part of the PhD program. Qualifications Proficiency with Python Experience implementing various Machine Learning algorithms