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implementation of position location estimation using Machine Learning (ML) techniques has been proposed as a methodology to improve performance beyond that of existing techniques, particularly in non-line-of-sight
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Vacancies PhD position on Mathematical Statistics or Machine Learning Theory Key takeaways Current statistical methodology still reflects the use-context of its first development in the 1920s
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, probabilistic modelling, generative AI) or machine learning Proficient in Python or R programming Strong communication skills in English Desirable but not required Preference will be given to candidates with
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The project: An exciting opportunity is available for a talented and motivated PhD candidate to pursue cutting-edge research on applying generative artificial intelligence and reinforcement learning
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over 40 PhD students, postdoctoral researchers and faculty members working on a broad variety of deep learning, computer vision, and foundation model subjects, like self-supervised learning, diffusion
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systems biology Background in AI (deep learning, probabilistic modelling, generative AI) or machine learning Proficient in Python or R programming Strong communication skills in English Desirable but not
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will be the base to then utilise lentivirally transduced genetic reporters as quantitative readouts for neuronal and glial inflammation. You will then be instructed on applying AI/machine learning
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developments in artificial intelligence (AI), machine learning (ML) and microelectronics have enabled drones to work even more efficiently, enabling them to address emerging demands in several sectors including
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Department of Mechanical Engineering at the University of Sheffield is one of the leading tribology and machine element groups in the UK with 6 academic staff and over 50 PhD students. The Centre covers a wide
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This is a full-time, funded PhD opportunity, open to home and overseas students. Only home fees will be covered - eligible overseas students will need to make up the difference in tuition fee