323 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"ST" positions at University of Nottingham
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degree in animal behaviour, social science, preventive medicine or veterinary medicine, or a related discipline. You should have experience of working with and coordinating a range of different
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, molecular biology, or the microbiome. The role involves working alongside a postdoc in Nottingham and international partners to conduct a large-scale genotype-by-environment screen of duckweed growth under
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and plant nutrition. Applicants must be highly motivated and self-driven, with a PhD in a relevant plant sciences area (a PhD topic on plant-microbiota interactions is desirable). It is desirable
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between the School of Education and the School of Mathematical Sciences. The Observatory is generating state-of-the-art, evidence-driven, and policy-relevant research to improve mathematical education
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-environment interactions, plant phenotyping, molecular biology, or the microbiome. The role involves working alongside a postdoc in Nottingham and international partners to conduct a large-scale genotype-by
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of Nottingham’s School of Veterinary Medicine and Science and Nottingham University Business School. You will be employed by the University of Nottingham but be part of the RCVS Knowledge team, working at the RCVS
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, genes, and pathways involved in sensing water in the model plant Arabidopsis. Building on our previous work (Mehra et al., Science, 2022), we aim to understand how hormone-driven pathways help roots
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activities and completing up-to-date standard operating procedures. You will provide support, help, guidance advice to develop chemistry related laboratories session through the use of equipment, skills and
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The University of Nottingham has been providing an outstanding student experience for over 140 years and is a leading university of worldwide significance with established campuses in UK, China and Malaysia. Our award-winning Nottingham campus is only 15 minutes by bus or tram to our vibrant...
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Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience Engineering Research Group) Aim: Develop a mathematical model for obsolescence modelling for railway signalling and telecoms