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Applications are invited for a fully-funded 3-year PhD studentship based in the Department of Clinical Neurosciences at the University of Cambridge under the supervision of Dr Topun Austin starting
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networking with colleagues and students; planning and organising research resources and workshops. Successful applicants will have or be near to completing a PhD in computer science, information engineering
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obtaining) a PhD in Engineering or other relevant area Knowledge and experience in: Material flow analysis, environmental assessment, emissions accounting or other topics and tools of Industrial Ecology
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A PhD is desirable but not required. Other industry, city government or research experience that demonstrates the capability to produce independent original research is also desirable. Very good
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bioprocessing technologies to deliver efficient pathways for upcycling captured carbon into high value products. The successful candidate will have a PhD, or be studying towards a PhD, in synthetic biology or a
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successful candidate has obtained or is close to obtaining a PhD or equivalent degree in Mathematics, Physics, Engineering, or a clearly related area, with a focus on fluid mechanics. Experience in delivering
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, and 2) to develop a physical model of cell shape dynamics during EMT. You should hold a PhD (or about to be awarded a PhD) in Biophysics or a related field and have extensive experience with cell and
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suited to candidates with strong quantitative and analytical skills and a PhD (or near completion) in cancer epidemiology or a related field. Applicants should have experience in applying or developing
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must either have a PhD in a relevant biological subject or have submitted or about to submit their PhD thesis. Candidates must also have demonstrable expertise in biochemistry, cell biology and/or
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community of researchers who conduct cutting-edge research into NLP and AI within the University of Cambridge. Appointment at Research Associate level is dependent on having a PhD (or equivalent experience