696 phd-studenship-in-computer-vision-and-machine-learning PhD positions in United Kingdom
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This exciting fully funded PhD, with an enhanced stipend of £25,726 per annum (with fees covered), will deliver a comprehensive understanding of micropollutant removal in different types of nature
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Infrared heating heats people and surfaces directly, without heating the air in between. Thus, it is claimed that radiant heating can provide thermal comfort at lower internal air temperatures, thereby saving home and industrial energy. Furthermore, rapid response rates could enable heating to...
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics
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Title: Predicting and Improving the Quality of Recycled Plastics Using Advanced Metrology and Data Science Research theme: "Materials Characterisation" "Data Science and Machine Learning in
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local gas/liquid phase conditions. Whilst direct simulations of breakup are possible, computational cost is high, restricting applications to small sections of geometry and for modest run times
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health monitoring, supporting studies in military aircraft systems. Engaging with these facilities allows students to acquire practical skills and technical expertise, enhancing their research capabilities
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University of Strathclyde will lead the wind energy training and research elements of the programme. Funded by ESB and EPSRC, this 4 year this PhD studentship, at the University of Strathclyde is in the area
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Application deadline: 01/08/2025 Research theme: Turbulence, Fluid Mechanics, Offshore Conditions, Renewable Energy, Hydrodynamics, Experiments This 3.5 year PhD is fully funded for applicants from
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for MPhil/PhD in Health Sciences via this webpage. If you have any informal queries, please contact: Dr Talar Moukhtarian and Glenn Waller . Application deadline: 31 August 2025. Interviews will be held
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behaviour, improve body composition and modulate stress. However, people often find starting an exercise programme a daunting experience and there are many barriers that prevent women from getting lifestyle