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DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
The position is part of DTU’s Tenure Track program. We provide you with the best conditions including a mentor, state-of-the-art research infrastructure, teacher training and relevant networks
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to investigate the mechanisms and cell-type specific effects of genetic variants. We are seeking a PhD student to join this effort, focusing on developing computational and statistical methods to model enhancer
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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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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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strong backgrounds in computational biology, mathematics, statistics, or computer science. Prior experience in probabilistic modelling and/or deep learning will be a significant advantage. At a minimum
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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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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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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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testing and robotic control systems Experience with statistics, energy consumption analysis, and Life Cycle Assessment (LCA). Contact information Further information about this position is available from
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We are seeking applicants conducting research in the areas of statistics, machine learning, and artificial intelligence, with a particular focus on quantifying uncertainty in dynamic systems and