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(https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically meaningful disease endotypes from heterogeneous, multimodal
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into different stages of optimization, both as priors and as feedback after optimization outcomes. Information This PhD project is a part of the CoRDS project – Confident Data-Driven Decision Support (https
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow in Multi-Agent RL for Autonomous Drone Swarm to develop learning-based
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or artificial intelligence (e.g. explanation of and trust in algorithms). The aim of this professorship is to establish solid connections and collaborations between the Department of Philosophy and the Machine
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-free algorithms for real-time optimization of turbine operating conditions (e.g., yaw set points). Other projects may be assigned by the supervisor depending on skills and technical needs. The successful
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are experts in systems science; we develop integrated solutions from care of the elderly to space robotics. We are now looking for a postdoctoral researcher in quantum algorithms and optimization for Life
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and the Faculty of Physics. We are seeking a highly qualified researcher with a strong background in tensor network methods, in particular the development of numerical tensor network algorithms, and
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decrease by two orders of magnitude, so that testing of control algorithms in a wind tunnel environment requires algorithms that are a significantly faster than they need to be in the field. Instead, wind
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) rigorous evaluation of algorithmic improvements.For some inspiration on this topic, see the CertiFOX project page: https://www.bartbogaerts.eu/projects/CertiFOX/ Another long-standing objective is to
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information on the QML-CVC team visit: http://qml.cvc.uab.es CANDIDATE ’S PROFILE The candidate should possess a PhD in Quantum Information or Quantum Computing at the time of enrollment, and have experience