13 post-doc-image-engineering-computer-vision PhD positions at University of East Anglia in United-States
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: environmental monitoring, AI, computer vision or multispectral imaging. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5
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, the race is on to understand how these DNA changes affect disease progression and post-operative recurrence risk. This PhD project uses CRISPR/Cas9 to examine risk variants in patient-derived cells and
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to constrain the depth of the magmatic pressurization source (5). Training The candidate will gain skills in seismic data processing, tomographic imaging, and numerical modelling. Travel opportunities include
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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
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. Communication of scientific findings through publications and conferences. Person Specification A highly motivated candidate with: A degree or equivalent in numerate, computational, or environmental subject areas
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, physics, chemistry, natural sciences, engineering, or another subject in a similar area. Start date: 1st October 2026 Funding ARIES studentships are subject to UKRI terms and conditions . Successful
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Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity to undertake a 4-year PhD research project
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@uea.ac.uk The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships for October 2026 entry. The programme offers postgraduates the opportunity
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through The Lupus Trust. Training programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods
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to post-doctoral level. They will receive hands-on training in fluorescent microscopy, fungal culture, transcriptomics, next-generation sequencing, molecular microbiology, nuclear magnetic resonance