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Field
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candidates are invited to apply promptly as selections will be made on a rolling basis. Ideal candidates would have a strong background in Computer Sciences, Software Engineering, Artificial Intelligence
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VR/AR, quantum tech, life-sciences, computing and biomedical imaging. The project will work on cutting-edge optical technologies alongside collaborators Prof Melissa Mather, Prof Dmitri Veprintsev, and
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VR/AR, quantum tech, life-sciences, computing and biomedical imaging. The project will work on cutting-edge optical technologies alongside collaborators Prof Melissa Mather, Prof Dmitri Veprintsev, and
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will be jointly supervised by: Dr Dominik Leichtle, School of Informatics, University of Edinburgh Dr Elham Kashefi, School of Informatics, University of Edinburgh Dr Theodoros Kapourniotis, National
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under-represented backgrounds Adjustments available to support candidates with physical disabilities or neurodivergence You’ll be a good fit if you: Have a background in Biochemistry, biomedical sciences
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: Essential criteria MSc. in Neuroscience, Physics, Computer Science, or a related field Strong background in computational neuroscience and data analysis Proficiency in programming (e.g., Python, MATLAB, and
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need to contact the project supervisor to discuss. Online applications are made via the 'Apply' button above. Please select Engineering Mathematics* on the Programme Choice page. You will be prompted
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The funding provider: Health Data Research UK Subject areas: Wider Data Science Field, Maths and Computer Science Project start dates: 1st October 2025 ** (Please see the note below regarding
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of medulloblastoma biology, focussing specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise
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An opportunity to apply for a funded full-time PhD in the College of Health, Science & Society, UWE Bristol. The studentship will be funded by Alopecia UK . Ref: 2526-OCT-CHSS04 The expected start