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The Impact and Shock Mechanics Laboratory (ISML) is seeking a highly motivated scientist to support a high-value materials characterisation programme as a postdoctoral researcher. The ability
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via independent study and training courses. It is essential that you hold a PhD/DPhil (or close to completion) in mathematics, computational biology, physics or a related discipline, and have experience
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PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets Experience in statistical or scientific programming (ideally R and/or
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defence and security, working directly with industry and sometimes governmental or military collaborators. You are expected to have strong mathematical and programming skills, knowledge of computer vision
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that sound like something for you? Welcome to our team! Your personal sphere of play: Your future position is at the Department of Economics which is part of the Faculty of Business, Economics and Statistics
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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The Role This scheme offers up to 6 months follow-on funding to EPSRC-funded research students after they have submitted their PhD. The EPSRC Postdoctoral Pathway scheme (formerly known as Doctoral
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experts to acquire bespoke training and testing data; develop prototype solutions informed by the latest ideas in medical imaging AI, computer vision and robotic guidance; and evaluate models in simulated
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, and Munich. The role: The position aims to develop predictive computational models of epigenetic dynamics, in close collaboration with Prof Rob Klose’s experimental group (Biochemistry, Oxford
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The Role This scheme offers up to 6 months follow-on funding to EPSRC-funded research students after they have submitted their PhD. The EPSRC Postdoctoral Pathway scheme (formerly known as Doctoral