25 parallel-computing-numerical-methods-"Prof" PhD positions at University of Cambridge
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Funder: Astra Zeneca Duration: 4 years from October 1st 2026 Supervisors: Prof Paul Midgley (University of Cambridge) and Dr Okky Putra (Astra Zeneca) Location: The studentship will be based in
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the above 'Apply' button) stating course code EGEGR3 with Project Prediction of future technical performance of lower carbon concretes with Prof Janet Lees. Please note there is a £20 application fee
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, providing the foundation for performance-based specifications that enable more sustainable, resource-efficient, and climate-friendly concrete production. For project-specific enquiries please e-mail Prof
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://www.postgraduate.study.cam.ac.uk/courses/directory/cvmdpdmed Quote the project title and supervisors (Dr Ana Vujic / Prof Antonio Vidal-Puig). Applications must include: CV Academic transcripts Statement of purpose (research
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please e-mail Prof Jeremy J Baumberg (jjb12@cam.ac.uk ). Please quote reference KA47350 on your application and in any correspondence about this vacancy. The University actively supports equality
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of materials. Applicants should be self-motivated, able to take ownership of their research, and effectively communicate their research findings. Training in all the computational and experimental methods will
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chromatin profiling methods along with CRISPR/Cas9-meduated cell line engineering and various animal models. You will study the effects of the activation or depletion of chromatin-modifying enzymes using
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the proteins associated with their binding sites with a view to understanding therapeutic mechanisms [e.g. see Nature Biotechnology 2023, 41 1265]. We are expanding this work to create methods to characterise
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. Current Mass Spectrometry approaches have been unable to assess most of the FOXA1 protein for PMTs, but new Mass Spectrometry methods such as 'top-down' approaches permit an unprecedented opportunity
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The Centre for Doctoral Training in Nanoscience and Nanotechnology (NanoDTC) at the University of Cambridge invites applications for its 3.5-year interdisciplinary PhD programme. The programme