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in artificial intelligence and machine learning, particularly for control applications Proficiency in Python Strong analytical and problem-solving skills Ability to work independently and
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beyond the Standard Model, including effective field theories and perturbative QCD, phenomenology at current and future colliders, as well as emerging areas in Artificial Intelligence, Machine Learning
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for Artificial Intelligence, and the Digital Futures Institute. The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely
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or artificial intelligence; • A good team spirit and willingness to collaborate; • Very good command of the English language. These skills would be an advantage: • Experience with Lagrangian transport
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environments (Gazebo, Unreal Engine, or Unity). You have experience in artificial intelligence (Deep Learning, PyTorch) or embedded systems (ROS2, FPGA/VHDL design). You are curious, show scientific rigor and
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ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in
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, Automation, Artificial Intelligence, Operations Research, or a related field. Solid research background and practical experience in one or more of the following areas: Reinforcement Learning / Deep
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Methods for Enhanced Market Intelligence, Automated Market Research Summaries via RAG-enabled AI. The successful candidate will extensively explore and analyse the suitability and potential benefits of new
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awareness. We welcome applications from recent PhD graduates in relevant areas, such as artificial intelligence and natural language processing. An ideal candidate will have a strong technical background in
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/EXPERIENCES A Ph.D. (obtained or soon to be obtained) in Computer Science, Automation, Artificial Intelligence, Operations Research, or a related field. Solid research background and practical experience in one