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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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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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. Measurement techniques in field applications and in the laboratory. Modeling and simulation skills (batteries, energy systems, electric equivalent circuits). Machine learning, statistical analysis, and other
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. Measurement techniques in field applications and in the laboratory. Modeling and simulation skills (batteries, energy systems, electric equivalent circuits). Machine learning, statistical analysis, and other
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interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and statistics. This PhD project falls under Research Thrust RT3 on representation
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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
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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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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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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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economy. On the other hand, the abundance of data can be used by attackers to identify network bottlenecks and other system vulnerabilities. This project focuses on applying and developing new statistical