726 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in United Kingdom
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the Oxford–Novartis Collaboration for AI in Medicine. You must hold a PhD/DPhil in Statistics, Statistical Machine Learning, Deep Generative Modelling, or a closely related field, together with relevant
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or a closely related field (PhD candidates who have submitted or are about to submit their thesis will be considered) Experience of machine learning frameworks (e.g. TensorFlow) Knowledge of Python and C
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. Support engagement activities, onboarding contributors, coordinating exercises, and ensuring compliance with defence protocols. About you You will hold a PhD in Human-Machine Interaction, Computer
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to work on the Improving Communication with Adults with Learning Disabilities (ICALD) research programme, funded by the National Institute of Health & Care Research (NIHR). The aim of this programme is
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and implementing vision processing algorithms that enable robust robot tracking and autonomy. The ideal candidate will possess hands-on experience designing, implementing, and deploying computer vision
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About us: Applications are invited for a Research Assistant to work on the Improving Communication with Adults with Learning Disabilities (ICALD) research programme, funded by the National Institute
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to underfill at Grade 6 (£34,982 - £40,855 p.a.) if candidate holds a relevant degree and is working on PhD/DPhil) together with established knowledge in computer architecture and hardware security, significant
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We are seeking a full-time Postdoctoral Research Assistant in Computational Mechanics to join the Brassart Research Group at the Department of Engineering Science (central Oxford). The post is
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Aalto University is looking for an Postdoctoral Researcher in Artificial Intelligence / Machine Learning Engineering [Academic Research Software Engineer] to a postdoctoral-level position. The
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optimality with computational efficiency. Reinforcement Learning through Stochastic Control. We will develop methods from stochastic control, which will provide a mathematically grounded approach that has a