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Funded UK Students Dr Alistair John, Prof Viktor Fedun Application Deadline: 20 June 2025 Details R2T2 is a UKSA-funded doctoral training programme dedicated to academic research in rocket propulsion
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Overview The Centre for Care is funded by the Economic and Social Research Council, with additional support from the National Institute for Health Research. It brings together staff and students
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methods and evidence synthesis is desirable. The postholder will work primarily on the following two projects: A study to identify the most pressing research priorities in digital care and develop a co
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community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't
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genetically modified animals is essential, along with a professional background in animal technology. Main duties and responsibilities Working with Licence Holders and research teams, customer focussed
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all year round Details Project details: Head and Neck cancer (HNC) is a significant cause of mortality and morbidity worldwide, ranking as the 6th most common cause of cancer incidence and mortality in
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: Applications accepted all year round Details The push towards net zero is leading to the increased electrification of systems, especially transport. Rural locations are increasingly more vulnerable to increased
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
Application Deadline: Applications accepted all year round Details Adhesion GPCRs have exciting potential as therapeutic targets for drug discovery. The focus of this PhD project is on ADGRG6 (GPR126
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beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we
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of rail with wider city and regional transport networks. A focus of this work is the application of optimisation techniques (e.g. evolutionary algorithms, or Bayesian techniques) to identify high performing