551 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"Univ" PhD positions in United Kingdom
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Applications are invited for a PhD project within the University of Nottingham’s world-leading Centre for Additive Manufacturing research group (CfAM, Faculty of Engineering). Vision and motivation
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candidate with an undergraduate degree (2:1 minimum) in chemistry, chemical engineering or materials science. Supervisors: Dr Sophie Pain, Dr Rob Sommerville, Dr Elizabeth (Lizzie) Driscoll. References: 1
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These are extraordinary times for research in gravitational waves and cosmology. A wealth of new data from cutting-edge observatories is transforming our understanding of the Universe, opening unexpected directions and creating unique opportunities to uncover new fundamental physics. This PhD...
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We invite applications for a PhD project focused on fundamental research into novel low-emission ammonia combustion/oxidation processes. This position is based within the Faculty of Engineering at
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of Population Health, University of Oxford) is a global pioneer and leader in population health science. The department has over 1000 staff, students and academic visitors who investigate the causes and
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This is an exciting PhD opportunity to develop innovative AI and computer vision tools to automate the identification and monitoring of UK pollinators from images and videos. Working at
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, mathematics and the physical sciences. Students should be able to demonstrate aptitude for computer modelling and enthusiasm to address real-world problems of great policy significance. Number Of Awards One
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DRIVE35 Collaborate programme, and aims to meet the evolving needs of urban populations while accelerating the shift to zero tailpipe emission transport by validating a novel, lightweight BEV in the L6e
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living in low-resource settings due to differences in where, when and how people are active. The University of East Anglia (UEA), Faculty for Medicine and Health Sciences, is offering a fully-funded PhD
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analysis (particularly advanced longitudinal methods) Using Geographical Information Systems (GIS) and related technology to assess environmental and social exposures Methods for missing data (e.g. multiple