663 web-programmer-developer-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at University of Sheffield
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-1 receptors in neuro-endocrine cells. Investigations into ligand and location bias within this context could aid the development of the next generation of GLP-1 agonists for the treatment of diverse
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of Sheffield community. Playing a key role in the Senior Leadership Team, the Development Manager crafts the strategic direction of sports programmes to align with the University's vision. Building crucial
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BBSRC Yorkshire Bioscience DLA Programme: Predicting pathogen evolution: using experimental evolution to understand the impact of phage therapy on Clostridioides difficile School of Biosciences PhD
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offers a non-destructive and in-situ method to measure soil moisture, density, and elemental composition. This project aims to develop advanced sensors for neutron and gamma ray sensing, tailored
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. There is considerable flexibility to propose and develop a research question, with support from the supervisor. Most of our work combines genomic, epigenetic and life history data to try to tease apart
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BBSRC Yorkshire Bioscience DLA Programme: Convergence or divergence? Evolution of phagocytosis molecular mechanisms in animal macrophages School of Medicine and Population Health PhD Research
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Investigating how DNA damage responses combat infections by the typhoid pathogen Salmonella enterica
cases / 129 000 deaths each year. Understanding how infection develops and how human host cells combat Salmonella will improve control strategies that are vital to typhoid elimination efforts. Typhoid
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BBSRC Yorkshire Bioscience DLA Programme: How does the Oestrogen receptor globally regulate transcription across the genome during development? School of Biosciences PhD Research Project Competition
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to interact with host tissues is crucial for developing effective prevention and treatment strategies. This innovative PhD project offers a unique opportunity to investigate SDSE pathogenesis by combining
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. The aim of this project is to develop an information theoretic framework to characterize the fundamental limits governing state estimation in smart grids. To that end, this research project will describe