135 phd-studenship-in-computer-vision-and-machine-learning positions at UNIVERSITY OF SOUTHAMPTON
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an impact, apply to join our team! Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title
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the laboratory of Professors Ward and Ober. Their interdisciplinary research program is dedicated to the development of novel antibody-based therapeutics that has led to several therapeutics that are currently in
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digital tools. One such tool, developed through the Cluster-AIM programme, uses social care and health data to identify people at risk of escalating social care needs. About the role You will support the
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of Psychiatry of Older Age. The successful candidate will have previously won external funding, have demonstrable potential to acquire further independent funding, have a strong record of research and publication
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major role in inspiring the next generation of students in a world-class University? Due to the success of the Artificial Intelligence & Computer Engineering (AICE), we have built a brand-new student
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collaboratively, and who values contributing to a supportive team environment. You will also help train and support researchers and PhD students in this role, so strong communication and mentoring skills will be a
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deputy Module Lead, to join the Medical Education Unit in the Faculty of Medicine. This is an exciting opportunity to contribute to the design, development and delivery of PC teaching and learning
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fitness suite 5 indoor studios A new climbing provision Learn more about our investment here . Our Vision - Active-for-All 2031 We aim to make the University of Southampton the destination of choice
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excellence in education and research and a founding member of the Russell Group. The Centre for Learning Anatomical Sciences (CLAS) is part of the larger Medical Education group within the Faculty of Medicine
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our 138m Boldrewood Towing Tank and Iridis research computing facility . You will receive mentoring and technical guidance from the project’s academic leads, Dr. Tahsin Tezdogan and Dr. Nicholas