799 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in United Kingdom
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programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
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training, conferences, and meetings. Mentorship in ocean simulations, submesoscale dynamics, and data analysis will be provided. About you You must hold a PhD (or equivalent experience) in a relevant field
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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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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 want to achieve - shaping
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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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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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, cultural practices and technologies between China and the Mediterranean or any sub-region between the two at any period up to the present day. This Research Fellowship is part of a broader programme, which
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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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; 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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will possess a relevant PhD or equivalent qualification/experience in a relevant field of study (e.g. data science, AI, machine learning, statistics, physics). They will be motivated to solve problems