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research agenda while working in a collaborative and supportive environment. This role is ideal for a self-driven and forward-thinking individual eager to make a significant impact in their academic career
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processes. Develop a systematic workflow for integrating experimental observations and reactive transport modelling to construct predictive models of formation alteration. The project is funded by Eni S.p.A
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Date 15th October 2026 Sponsor British Heart Foundation (https://www.bhf.org.uk/ ) Supervisors Dr Simon Bamforth https://www.ncl.ac.uk/medical-sciences/people/profile/simonbamforth.html Dr Helen Phillips
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only of storing information, but also of manipulating, organising, and retrieving it through molecular data structures analogous to those used in computer science. Building on our pioneering experimental
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integrity Validate findings in human tissue via collaboration with the HEETR eye bank (P1-UT), accessing AMD donor eyes for histological and molecular correlation. Model multicellular crosstalk by building