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support oncology staff to engage with, communicate and act on mainstreaming genomic testing information. This review will lead to evidence based recommendations and targeted outputs which may generate
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Build and test predictive models using machine learning techniques Drive methodological innovation in neurophysiological data analysis Contribute to publications, grant submissions and independent
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submitted their doctoral thesis for viva voce examination not more than four years prior to the Leverhulme ECF application final closing date (anticipated to be 19th February 2026). Candidates are strongly
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conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background
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real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will
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exchange membrane fuel cells and water electrolysers A high level of fabrication skills in catalyst coated membrane / membrane electrode assemblies, and single cell testing skills including polarisation
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human fungal pathogen Candida auris, to support the development of murine infection models for antifungal efficacy testing as well as for use in in vitro screens. Secondly, to develop a workflow, using
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research fellow will work as part of an EPSRC funded project aimed at the design, synthesis, characterisation and testing of polymers as antivirals. This post is based within the Jones Lab within the new
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. • Familiarity with safety-critical systems, energy storage technologies, or automotive standards. • Capability to support hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing frameworks
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the project, you will work in close collaboration with the team designing and testing the reactors to validate your simulation outputs, and your data will directly feed to the research undertaken by another