51 phd-studenship-in-computer-vision-and-machine-learning PhD positions at University of East Anglia
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), computation (bioinformatics, machine learning, statistical analysis), working with animals (radio-tracking, animal handling/sampling), and deep knowledge of evolutionary biology and gerontology. The Norwich
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confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity
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coherence, and non-Markovianity therefore become important both for fundamental physics and for eventual practical applications. In this PhD project, we will develop the theory for quantum-optical protocols
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to learn advanced skills in bioinformatics including the use of the command-line is essential. The PhD student will be based in the Quadram Institute building located on the Norwich Research Park, where
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Primary Supervisor - Dr Marius Somveille Background Seabirds are highly mobile organisms connecting distant regions across the world’s oceans and seas. While being important contributors to marine ecosystems, seabirds are also particularly threatened by human activity. To design effective...
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for October 2026 entry. The programme offers postgraduates the opportunity to undertake a 4-year PhD research project whilst enhancing professional development and research skills through a comprehensive
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offers postgraduates the opportunity to undertake a 4-year PhD research project whilst enhancing professional development and research skills through a comprehensive training programme. You will join a
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(NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity to undertake a 4-year PhD research project whilst enhancing professional development
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to undertake a 4-year PhD research project whilst enhancing professional development and research skills through a comprehensive training programme. You will join a vibrant community of world-leading researchers
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous