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of processes through real-time data acquisition and analytics; component fabrication (additive manufacturing); characterisation (e.g. SEM, EDX, XRD, XPS, Raman spectroscopy, nanoindentation, AFM, etc.); and
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to formulate and test hypotheses about how epigenetic factors control the life cycle of parasitic nematode, use transgenic and CRISPR methods to manipulate epigenetic regulators, and test the effects
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responsible for the development and implementation of a case study in a US or European city (to be confirmed), using ethnographic and qualitative case study methods under a cross-cultural research design
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responsible for the development and implementation of a case study in a US or European city (to be confirmed), using ethnographic and qualitative case study methods under a cross-cultural research design
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quantum field theories, and the application of Hamiltonian methods to gauge theories, though you will also be encouraged to develop and pursue your own research directions. Applicants should have a PhD in
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on the training strategies. In this project, we will investigate Bayesian methods to train deterministic SNNs (with deterministic activation functions) or probabilistic SNNs. Bayesian deep learning methods have
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health economic impact. Further detail: We have demonstrated proof of concept on the lab bench of a UV ‘elucidation’ method. This identified previously missed bone fragments that had passed manual
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epidemiological methods, longitudinal modelling); Preparing manuscripts for publication in leading journals; Presenting findings at national and international conferences. The role offers outstanding opportunities
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understanding of the impact of food- and environment-related toxicants on human health. Innovative mass spectrometric methods are developed and applied to investigate exposure, metabolism, and toxicity. The lab
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shortlisted for interview and need any support, equipment or adjustments to enable you to participate in any element of the selection process, please contact bioscienceshradmin@sheffield.ac.uk Our vision and