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multi-agent autonomous systems and related technologies. This will include development of distributed monitoring algorithms enabling agents in a multi-agent swarm to autonomously locate other agents in
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, once the codes have been tested and validated, the work will involve performing simulations of materials for energy storage (batteries, supercapacitors), in collaboration with our partners in Japan (Prof
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100%, Zurich, fixed-term The Distributed Computing (DISCO) Group is a research group at ETH Zurich, led by Prof. Dr. Roger Wattenhofer . We are interested in a variety of research topics on new and
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About the role We have an exciting opportunity to join the Rare Genetic Disorders Research Group led by Prof. Stephan Sanders in the Department of Paediatrics at the University of Oxford as a Full
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contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will be working primarily with
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Technologies Programme and is a five-year project with £22.4 million total funding for a consortium of 17 institutions and over 50 research groups. The task of the theory group led by Prof Kyriienko
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RWTH Aachen University, Department of Mathematics Position ID: RWTH -PROF [#26602, BANF 29059] Position Title: Position Location: Aachen, Northrhine-Westphalia 52056, Germany [map ] Appl Deadline
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for greater precision. Machine learning (ML) algorithms will analyse these datasets to deliver a scalable, cost-effective system, validated through field trials and enhanced by contributions from four
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) or neural network-based methods. The level of the targeted problems will require further mathematical and algorithmic developments over the current state of data-driven SSM reduction. The PhD position will
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Assistant (Predoc) in the group of Univ.- Prof. Hajo Boomgaarden, PhD. Communication Science is an integrative social science characterized by methodological diversity, with a focus on indirect public