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biology, neurobiology, neurology and neuropathology. It is hoped the data will contribute to new clinical imaging and drug trials for MS and AD. Eligibility Applicants should have a first or upper second
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the urgent need for deeper insights into GIST biology. Single cell RNA sequencing studies have identified immune cells present within the GIST tumour microenvironment (TME) that vary between KIT/PDGFRA mutant
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based on the UKRI rate (£19,237 for 2024/25). This project intends to leverage the power of engineering biology / synthetic biology to contribute innovative solutions for climate change mitigation
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, molecular biology, bacteriology or related disciplines. Self-motivation, deep interest in research, ability to think and work independently, fluency in English language and good oral and written communication
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The main objective of the projects is to study the host-pathogen interaction of PRRSV-1 with the host immune system in pigs. While PRRSV-1 can be resolved by the host before the appearance of neutralising antibodies in blood, a role for the adaptive immune system is envisaged. The approaches to...
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on the structural biology, microbiology, and infection of an important antimicrobial-resistant superbug – C. difficile. This unique opportunity allows you to work with leading experts in the UK and Australia
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Award Summary 100% Home fees covered, and a minimum tax-free annual living allowance of £19,237 (2024/25 UKRI rate) Overview This PhD project intends to leverage the power of engineering biology to
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2:1 (Biology, Psychology, Neurosciences, Linguistics) and Master’s degree in Psychology, Developmental Sciences or Neurosciences (or equivalent research experience). Start date: October 2024
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Funding providers: Swansea University Subject areas: Immunology, Metabolism, Cell biology, Kidney Disease Project start date: 1 July 2024 (Enrolment open from mid-June) Project description
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PhD studentship in the Groups “Numerical Analysis and Scientific Computing” and “Mathematics Applied to Biology” at the University of Sussex (UK). PhD project Statistical inference has proved to be