580 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"U.S" PhD positions in United Kingdom
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Field
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· Select ‘PhD Marine Science (full time) as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · A ‘Personal Statement’ (this is a
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Start date: 28/09/2026 Funding Sponsored by Cranfield University, this full-time PhD Studentship will cover the PhD programme fees and provide an annual bursary of £20,780 (tax free) for three years
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British Bachelors Honours degree (or equivalent) in an appropriate discipline. Subject Area Mechanical Engineering, Computer Science & IT, Data Analytics Keywords Optimisation, adaptive sampling, corrosion
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., statistical modelling, Artificial Intelligence/Machine Learning) Experience in computational biology and bioinformatic analysis Proven ability to write detailed, technically accurate reports on complex research
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Programme, which seeks to transform the UK’s capabilities to improve understanding of mechanisms and health outcomes, using respiratory and allergic disorders as exemplar domains. We seek to enrol the most
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with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the position may be filled before
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the ‘Sustainable Transitions – Leverhulme Doctoral Training Programme’ at the University of Essex. Only UK domiciled applicants who meet the following criteria may apply: Not already have a Master’s degree. And Be
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, biochemistry, neuroscience, electrical/electronic measurements and finite element analysis/COMSOL. Applications from both UK and overseas students are welcome. The studentship is supported for 3.5 years and
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. This interdisciplinary PhD is ideal for candidates with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but