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Field
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: Equality, Diversity and Inclusion (EDI) – We encourage applications promoting and embedding EDI values throughout the whole research process. We also encourage original research addressing key EDI-related
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this testbed available to users for testing hardware and applications. NPL will lead on the testing and security evaluation of the testbed and collaborate widely on the technology development. The student’s
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use this formalisation to encode our STV algorithm on encrypted ballots. This approach aims to ensure both the correctness and privacy of the tallying process, paving the way for verifiable and secure
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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honours degree in materials science, physics, engineering, or a related discipline. The ideal candidate will be self-motivated, with an interest in both computational modelling and practical manufacturing
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disproportionate loss of muscle mass compared to conventional ‘dieting’, which can have detrimental effects on physical function. The present fully funded PhD studentships will perform a series of human physiology
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the recording of substrate-borne vibrations produced by earthworms (and other invertebrates) in situ. To fully exploit this emerging technology there is a need to unravel the meaning within the data. As such
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the gut-brain and gut-muscle axes, as potentially key modulators of cognitive function, and physical health in middle-aged-to-older adults. The central theme will be to investigate how targeted
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identify the spatiotemporal impacts of clear-cutting on soil physical characteristics, hydrogeology and GHG emissions. Existing benchmark data like below-ground geophysical, hydrogeological, and soil
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requires the successful candidate to maintain a Working with Children Check The successful candidate can apply for the WWCC as part of the onboarding process. In the case the selected candidate doesn't have