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Mc-Kinney Moller Institute. AID collaborates with leading universities and industry partners across Denmark, Europe, and the United States, driving innovation in artificial intelligence, statistical
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Job Description We are seeking a candidate for a 3-year PhD program as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Airborne Wind Energy TRAining for Industrialization
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14 Mar 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU management Research Field Mathematics » Statistics Engineering » Other Researcher Profile First Stage
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Job Description Are you experienced in deep learning, computer vision, and probabilistic modeling? Join our high-profile EU consortium for the AUTOASSESS project at DTU Electro, where we have
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livestock in Denmark as part of the Danmap program (www.danmap.org ). In addition to scientific publication, the obtained quantitative epidemiological models should be integrated into a mathematical tool that
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enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment Professor Jens O. Brunner will assess the applications. We offer DTU is a
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the laboratory. Modeling and simulation skills (batteries, energy systems, electric equivalent circuits). Machine learning, statistical analysis, and other contemporary data-driven techniques. Computational
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inference in the proposed models using advanced statistical and computational approaches, including Bayesian methods and other simulation-assisted methods, Design, implement and conduct immersive virtual
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at the 5 Nordic technical universities. Joining the team, you will be one in a pool of prestigious PhD students breaking new ground at the absolute forefront of BESS technology. As part of the N5T program
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learning, statistical analysis, and other contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python