460 associate-professor-computer-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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, computer science, or a closely related discipline (typically first-class or high 2:1, or equivalent; Master’s welcome) • Strong programming skills (for example Python, MATLAB, C/C++) • Strength in at least two of
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we are looking for The candidate should have a 1st or high 2:1 degree in mechanical/aerospace/manufacturing engineering, computer science, physics, mathematics, or related scientific disciplines
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role in supporting data-driven, policy-relevant research examining energy markets and a range of associated social and environmental challenges. This role is ideal for candidates planning to apply to top
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epidemiological dataset to explore prevalence and patterns in physical activity, as well as the association between physical activity and health outcomes in disabled people. This will be complemented by other study
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available LMIC-based data, examine the association between physical activity and non-communicable disease morbidity and mortality. Supervisors for this studentship will be Dr Andrew Atkin and Dr Karen Milton
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sponsors own security checks before starting the PhD. Start date: 5 October 2026 Closing date: 27 February 2026 For further information please email Professor Chris Gerada (University of Nottingham) and
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The rapid growth of deep learning has come at an extraordinary environmental and computational cost, yet the standard training paradigm remains remarkably unchanged. Every sample is passed through
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prior to obtaining their visa and to study on this programme. How To Apply You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use
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like functional metagenomics to investigate pathogen virulence and plasmid-chromosome associations. You will gain a unique interdisciplinary skillset: Molecular Biology: DNA extraction, host depletion
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integrating machine learning, computational modelling, and experimental validation. The successful candidate will receive training in both computational and experimental biology within a highly collaborative