161 computer-programmer-"https:"-"FEMTO-ST"-"Inserm"-"U" "https:" "https:" "https:" "https:" "https:" positions at University of Sheffield
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this project is co-developed with Network Rail, the student will work closely with industry throughout the four-year programme. There will be opportunities for industry placements, embedded periods with regional
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programme. This post will be predominantly patient focused, playing a key role in helping to deliver cutting edge gene therapy and experimental medicine trials. The ability to implement good clinical practice
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opportunity for a postdoctoral researcher to contribute to a high-quality in vivo research programme in stem cell and vascular biology with direct relevance to tissue regeneration and inflammatory disease. Led
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University Open Days and manage relevant administrative tasks. Demonstrate flexibility in working hours, including evenings and weekends, to support programme activities. Join our dynamic team and contribute
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BBSRC Yorkshire Bioscience DLA Programme: Neuronal compensation for natural circuit perturbations School of Biosciences PhD Research Project Competition Funded Students Worldwide Dr Andrew Lin
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closely with water utilities. The outcomes will support the development of robust decision-support tools to safeguard drinking water quality and safety under a changing climate. The research programme to be
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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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BBSRC Yorkshire Bioscience DLA Programme: Human Stem Cell-Based Approaches for Neurotoxicity Testing of Environmental Contaminants (CASE Project) School of Biosciences PhD Research Project
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Engineering, Computer Science or a related discipline (or close to completion/equivalent relevant experience). Essential Application Relevant postgraduate research or industrial experience in Electronic
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Particulate Modelling for Next Generation Batteries, you will develop new theoretical and computational understanding of the relationships between manufacturing methods and conditions, the resulting particle