542 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"Univ" PhD positions in United Kingdom
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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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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
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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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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception
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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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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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backgrounds in engineering, applied mathematics, physics, computer science, or data science, and can be tailored to your interests, whether you prefer theory, modelling, or applied research. You will analyse
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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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for translational biocatalysis, addressing critical needs in the development of sustainable biotechnologies. The programme will equip PhD students with advanced expertise in enzyme science, machine learning, enzyme
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for candidates passionate about sustainability, plant science, and nature-based engineering innovation. This PhD studentship is part of the Water Infrastructure & Resilience (WIRe) CDT funded by EPSRC and the