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decision support, and enable more transparent, trustworthy biomedical AI. This position is ideal for a recent PhD graduate looking to build an independent research trajectory that bridges AI, biomedicine
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to find out more about each of the studentships and scholarships available in the Faculty. Specified use 1+3 - covering a full Masters and PhD programme 1+4 - covering a full Masters and PhD programme
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of prompts within existing systems e.g., ethics applications and data management plans. Candidates must have a PhD level qualification in Psychology, Behavioural Sciences or a related discipline. Please refer
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obtain a PhD or equivalent in Physics, Electrical & Electronic Engineering, Computer Engineering, or a relevant discipline. You must have hands-on experimental experience and skills in thin-film
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will be Summer 2026, or anytime earlier. You must have a PhD in astrophysics, physics or a related field by the time the appointment starts. You should submit, in a single PDF: a curriculum vitae, a
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the School if an offer of a place is made. For PhD students applying to the School of Life Sciences, all CONACyT scholarship holders receive an additional scholarship from the School where tuition fees
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experience in computational analysis of proteomic data. The project will use the yeast Saccharomyces cerevisiae as an experimental model relevant to all eukaryotic systems. Applicants should have a PhD (or
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in developing new computational algorithm and formulation for generating optimised structure and toolpaths while incorporating the manufacturing constraints. Candidate should have a PhD degree in
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Type of award Scholarship Managing department Faculty of Science and Engineering Value The four-year funded A*STAR PhD programme at Manchester enables postgraduate researchers in science and
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supported by the School of Natural Sciences You should have, or be working towards, a PhD or equivalent in biomaterials, bioengineering or a related discipline. Expertise in mammalian cell culture, bioreactor