242 computer-programmer-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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honours degree or equivalent in a related discipline. This project would suit someone with: Experience with programming (Python, MATLAB), Background in aerospace, computer science, robotics, or electrical
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Background The nuclear industry is increasingly seeking to deploy robotic and autonomous systems were possible to reduce worker exposure to hazardous environments, improve productivity and enhance operational resilience. Whilst significant progress has been made in remote operations, a major...
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. This role is ideal for candidates planning to apply to top PhD programmes and looking for hands-on research experience with original data construction and applied causal inference on high-impact questions in
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We are seeking an experienced mixed-methods researcher to perform an exciting role within two NIHR-funded programmes focussed on primary care-based interventions to investigate novel technologies
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Location: Woodstock Road, Oxford We are seeking an experienced mixed-methods researcher to perform an exciting role within two NIHR-funded programmes focussed on primary care-based interventions
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inequalities in health and/or wider determinants of health. The focus on ‘places’ may include: Neighbourhoods (in line with the 10-year plan for the NHS) focussing on regional, local and hyperlocal geographies
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calculator and species selection guide. Training You will be based at the University of Nottingham's Sutton Bonington Campus, with access to world-class facilities including the Hounsfield X-ray CT Facility
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Application deadline: All year round This 3.5-year PhD project is fully funded; students who are eligible to pay tuition fees at the Home rate are eligible to apply (more details can be found here ). The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805...
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the interface between experimental and computational biology. The successful candidate will generate and interpret long-read sequencing data; help optimise emerging approaches such as long-read ribosome profiling
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-driven model selection, and deep learning for data analysis and feature extraction from characterisation data. Surrogate modelling will be employed to reduce computational costs, and AI-based uncertainty