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remain largely unexplored. This research will be carried out by using the world-leading research facilities (high temperature experiment, advanced characterisation and modelling) at the Advanced Steel
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of interest, and two academic references (submitted by the deadline). The application portal will also ask for a research proposal, however, since the project is already defined, you may copy the project
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contemporary high-resolution next-generation sequencing and array-based genomic and epigenomic datasets across large cohorts of human tumours and experimental models, alongside complex drug screening, efficacy
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be testing and optimising predictive models for use in realistic healthcare settings. This studentship will suit a student interested in working in health data science, particularly with an interest in
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heavier than their fossil fuel powered counterparts. A framework that can accurately model complex dynamics and generate projections for future scenarios is essential for understanding the impact of changes
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, while simulations are subject to error due to uncertainty in nuclear data and unresolved physical processes e.g. thermal expansion and fine-scale inhomogeneities. Generating independent simulation
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excellent understanding in power system dynamics, power electronics and control. Experience in working with power systems dynamic simulation will be helpful, but not necessary to apply for the position. How
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. Our preliminary work has shown that such an adapter can enable a consistent dose to be extruded and spread onto simulated paediatric lesions, where one FTU now covers an area of just two fingers. We
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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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. Project details In this project we aim to develop graph deep learning methods that model spatial-temporal brain dynamics for accurate and interpretable detection of neurodegenerative diseases