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communication changes during the ageing process by harnessing omics databases and AI-algorithms. (2) Investigating molecular pathways to modulate senescence and promote healthy ocular ageing using in vivo, ex
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Research Framework Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description One fully funded PhD studentship is available in
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have a PhD in Electronic Engineering, Computer Science, Statistics, Applied Mathematics, Physics or another relevant discipline. This post is fixed term for 3 years. Any applicants who are still awaiting
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We are looking for a passionate scientist with a technical background (in engineering, computer science or physics) and an interest in biological applications, to work on the EPSRC-sponsored project
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We are pleased to announce an exciting opportunity for a Lecturer in the Department of Physics in the field of Particle Accelerators, with a focus on Artificial Intelligence (AI) methodologies
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strong numerical component in Earth Science, Mathematics, or physical or chemical topic. Any applicants who are still awaiting their PhD to be awarded should be aware that if successful, they will be
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environment that spans physical sciences, engineering, biological sciences and global health. The candidate will require excellent, transferable skills including the ability to work with academic, industrial
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to communicate effectively with key stakeholders are essential. You will have a PhD (or will be close to submitting/defending your thesis) in experimental nuclear or particle physics or in a discipline relevant
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position forms part of an interdisciplinary team in the Leverhulme Centre for Functional Materials Design working across physical and computer science to develop new pathways to the design and discovery
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microscopy methods is essential for the role, and candidates should make their relevant experience for materials discovery clear in their application. You will have a PhD in Physics, Chemistry or Materials