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Job id: 142026. Salary: £53,947 - £74,613 per annum including London Weighting Allowance. Posted: 25 March 2026. Closing date: 08 April 2026. Business unit: Dentistry, Oral & Craniofacial Sciences
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design of improved formation and ageing protocols. Role Summary Work within the FAST (Formation and Ageing for Sustainable Battery Technologies) research programme, delivering the data engineering and
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Primary Lymphoedema utilising a range of computational and statistical approaches. We are seeking a candidate with a background in computational biology and experience in the analysis of genetic data
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. This role is ideally suited to a researcher with experience in computational structural biology, glycobiology, or protein modelling, who is interested in applying AI-enabled structural prediction and glycan
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/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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quantitative image analysis approaches. Excellent molecular biology skills. Strong interest and experience in using interdisciplinary approaches in their research program. Excellent written and oral
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Systems Engineering), along with excellent computing and programming skills in multiple languages and environments. You will also need a problem-solving ability to manage and analyse manufacturing datasets
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provided. The post will be at registrar level and will require a medical qualification. It would be suitable for a trainee with relevant experience in paediatric medicine as out of program experience
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? Not funded by a EU programme Reference Number 5244 Is the Job related to staff position within a Research Infrastructure? No Offer Description Faculty of Engineering and Applied Sciences Environmental
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3 Mar 2026 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 13 Mar 2026 - 00:00 (UTC