790 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in United Kingdom
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Fixed Term (Nov 25 - Aug 26) The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we
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vision is to make clean energy accessible to drive climate action and enable children raised in off-grid and informal settlements to reach their full potential. We are looking for a Research Associate
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produce preliminary experimental data in the field ofrheumatology and musculoskeletal (MSK) medicine which in turn may allow the fellow to develop a competitive PhD fellowship application. Although research
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. Develop research objectives and proposals for own or joint research, in the area of interest of the hosting laboratory (Prof. T. Carlomagno) Contribute to writing bids for research funding Acquire, analyse
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conferences. Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline. Person Specification PhD (or near to completion or equivalent experience) in a
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multiple long-term conditions navigate their social care needs. The position is full-time fixed-term until 01/04/2026. About you You will hold a PhD or equivalent professional qualification and experience
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to assess potato dormancy break, including: data collection, processing, AI model development and classification accuracy assessment. Involved in supporting an electrophysiology-based machine learning model
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to £39,586 per annum (if PhD close to completion), and in the range of £37,337 to £44,906 per annum (if PhD obtained) The Centre for Propulsion Engineering within FEAS is looking to expand its internationally
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; Chemistry; Computer Science; Ecology; Engineering; Environmental Sciences; Mathematics/Mathematical Sciences; Medicine; Natural Sciences; Physics; Psychology; Veterinary Sciences. This Fellowship is intended
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets