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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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networks bridging metadata, text mining and FAIR data principles Contribute to publications, funding bids, and supervision of students You will have: A PhD or equivalent experience in life science or
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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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The successful candidate will have a PhD in chemistry, with a proven track record in catalysis, organic and organometallic chemistry, and mechanistic investigation. The position is full time and available for up
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. For further information about the research group, see webpage http://ashokkeerthi.weebly.com/ The successful applicant should have, or be working towards, a PhD in synthetic organic chemistry, polymer chemistry
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at the University of Manchester. The successful candidate will work at the interface of physics, chemistry, materials science, and AI, developing workflows for autonomous discovery. You may focus on experimental
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materials devices. The successful candidate will hold a PhD (or equivalent) in experimental work on physics, condensed matter physics, chemistry, materials science. Preference will be given to applicants with
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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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Applications are invited for the post of Biomedical Data Scientist specialising in Spatial Bioinformatics. The post is based in the new Medical Research Council Centre of Research Excellence (MRC
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development of a computational pipeline that integrates multi-omic data at the cellular level across exposomes and diseases, revealing novel biology and shared mechanisms of immune regulation. You will be