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permeability selection in variant membrane chemistries. This work will run in parallel to experimental analysis conducted at the University of Exeter using synthetic vesicles to observe permeability
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the selection process. The ideal candidate will hold a PhD in biophysics, biochemistry, physical chemistry, physics, engineering, or a related area, or have submitted a PhD thesis prior to taking up
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-career researchers or aspiring PhD candidates seeking to strengthen their academic and industry-facing experience. The post provides a valuable platform to deepen skills in AI and data science, expand
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become an embedded member of both teams, joining a Senior Research Fellow and PhD student who engage in cross-technique research in a clinical setting. The hyperpolarised groups are strategically placed
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. You will also help evaluate AI tools in real-world healthcare settings, supervise PhD students, and contribute to shaping the future direction of AI in the Unit. This post is full time and fixed term
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on qualifications and relevant skills acquired and will also be determined by the funding available. About you You will hold a PhD/DPhil or be near completion of a PhD/DPhil in a related subject area and have
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to ideas for new research projects. You will hold (or be close to completion of) a PhD/DPhil in (bio)ethics, philosophy, sociology, anthropology or other relevant subject. You will have some experience and
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members of the research group which include research assistants, MBiol and PhD students, and project volunteers. They will have access to cutting-edge experimental and computational facilities situated in
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within a leading international research environment. About You To be considered for this position you should; • Hold a relevant PhD (or close to completion) or MSc level in a relevant discipline (e.g
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team, and independently, are essential. You will also provide guidance to less experienced members of the research group, including postdocs, research assistants, technicians, plus PhD and project