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funded project aimed at enhancing medical diagnostics through the application of machine learning and artificial intelligence. In this capacity, you will lead the development of algorithms to improve
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candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power
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electrodynamics to super-resolution imaging and optical nano-metrology - see www.nanophotonics.org.uk/niz/ . You will hold a PhD* or equivalent qualification in Physics or another subject relevant to the field
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Reference: 2531923FP-R We are seeking applications for a research fellow at the University of Southampton within the Vision, Learning and Control (VLC) Group in Electronics and Computer Science, to work in
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others. You will work as part of or lead multi-disciplinary teams from across the RAI UK programme. To be successful you will have: PhD in a field related to one of the following: Deep learning
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, 2023). The successful candidate will have a PhD in Philosophy or a related subject, and proven teaching skills. They will be enthusiastic and flexible in contributing to undergraduate and postgraduate
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Reference: 2534723FP-R Research Fellow in Bayesian Deep Learning We are seeking applications for a research fellow at the University of Southampton within the Vision, Learning and Control (VLC) Group in
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Chris Allgrove from lngenium and Professor Richard Guest from the School of Electronics and Computer Science at the University of Southampton, we are looking for someone with a PhD (or near completion) in
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an outstanding candidate for a lectureship in Statistical Learning, interpreted broadly, as part of an expansion in Artificial Intelligence and Data Science research and education in the School of Mathematical
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new and existing machine learning methods to build intelligent and proactive risk models. The diverse set of modelling, learning, and data management components will run on a heterogenous cloud, using