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will not be allowed to supplement fees via self funding. About the project Understanding crystal structure is crucial not only during the discovery phase, where structural elucidation is routine, but
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through a combination of experimental work, that exploits the latest digital measurement tools and state-of-the-art equipment in the Cambridge Civil Engineering laboratories, and multi-physics modelling
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biology, molecular biophysics, structural biology and particularly genomics. Students will contribute to one or more of our primary research areas below: Our main area of interest is on the structure and
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processes associated with CIN [1], leveraging single-cell DNA sequencing understand CIN heterogeneity [2], and development and implementation of machine learning and AI models to imaging data [3]. The student
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Chemistry and Chemical Biology. The project will combine the advances in Antibody-drug conjugates (ADCs) with antisense oligonucleotides. ADCs have revolutionized targeted cancer therapy by delivering
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microscopies, ultrafast photophysics, X-ray, THz, superresolution, modelling. Further details including funding information is available at: www.nanodtc.cam.ac.uk/apply/ For entry in October 2026, applications
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their properties, as well as develop ways to manipulate and advance the nano-assembly processes. You would also be involved in scale-up on roll-to-roll pre-pilot kit, to explore applications for these advanced
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biostatistics. We develop, apply and promote innovative statistical and data science approaches to advance biomedical science and human health. The BSU current research portfolio is organised into five main
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both sites. The project sits at the interface of cell line engineering, protein science and machine learning and you will receive advanced training in these areas while developing methods to accelerate
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Dr. Seaborn (katie.seaborn@cst.cam.ac.uk ) in advance to assess topic and background fit. Please include a CV and 1-page research statement that shows evidence of engagement with this advert and Dr