64 phd-in-computer-vision-and-machine-learning Fellowship positions at UNIVERSITY OF SOUTHAMPTON
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you a passionate engineer with a PhD or equivalent, who is eager to push the boundaries of composite
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Are you a passionate engineer with a PhD or equivalent, who is eager to push the boundaries of composite structures? Then join our dynamic team at the esteemed Department of Aeronautics and
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We are seeking a highly motivated Research Fellow to join the School of Electronics and Computer Science (ECS) at University of Southampton for a two-year position in the area of Personalised
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with physical objects/environments, and audio rather than video based AR can help enhance memory/learning Humanizing Computer Mediated Communication: Synthesizing co-presence - What does it mean to feel
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(R3) Country United Kingdom Application Deadline 23 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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presentation of results at national and international meetings. Required Knowledge, Skills, and Abilities: PhD or equivalent qualifications / experience in Theoretical or Computational Chemistry or related area
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calculations; Experience with developing, training, and optimizing neural networks or other machine learning models. For this position we are targeting a salary corresponding to Level 4 Spine Point 28 - 30
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mathematicians and computer scientists at the University of Southampton, the University of Oxford (lead node), Imperial College London, Queen Mary University of London, Durham University, and the University
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a highly motivated and enthusiastic Early Career Bioinformatician to apply and develop their computational skills in a clinical research setting. This is a unique opportunity for a recent PhD graduate
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implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing