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energy; thereby minimising farming’s environmental impact. AI machine learning offers a new expedient method of developing control systems for tasks that would be difficult to manage using classical
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experience in spatial analysis and/or machine learning methods, and an interest in applying these tools to urban and housing policy questions. The Fellow should demonstrate potential for producing high-quality
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and visualisation. Identify and establish best practices in the patient pathway and referral network through utilisation of descriptive analytics. Use predictive analytics and machine learning to drive
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. We are now looking for: Three (3) Doctoral Researchers (PhD students) in Machine-Learning-Driven Atomistic Simulations The Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro
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, physical layer design, machine learning, and their applications to wireless communications. The successful candidate will also contribute to the formulation and submission of high-quality research
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, robotics, natural language processing, programming languages, AI, data science and machine learning. The School has an extensive portfolio of taught programmes, including the new MSc Computer Science
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first degree in an Engineering or Engineering-related subject and a PhD with appropriate content. Proven experience of experimentation and FEA modelling. Experience in some of the following areas will be
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are invited for the 2026 Research Fellowship awards. Up to four Research Fellowships will be awarded in this competition. Applicants should have submitted their PhD after 1 October 2024, or be on track
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Subject areas of particular interest may include: Machine and Deep Learning Data Visualisation Generative AI and LLMs Programming (Python, R, SQL) Databases and IoT Applied Statistical Methods You will also
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as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas