251 computer-science-programming-languages-"U.S"-"U.S" positions at University of Nottingham
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fit if you: Have a background in Biochemistry, biomedical sciences, organic chemistry and biophysics Are desire to explore the biochemical composition and biological activity of GAGs Are confident
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project which aims to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments and through this improve targeting of future treatments for
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to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments and through this improve targeting of future treatments for clinical depression
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stress. Building on our discoveries (Dietrich et al. 2017, Nature Plants; Orosa-Puente et al. 2018, Science; Mehra et al. 2022, Science), this project aims to identify genes and mechanisms involved in
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, plus 5 additional university closure days and bank holidays. Employee Assistance Programme and Counselling Service- 24/7 support. Supplier discounts, travel, and reward schemes. Staff Networks, events
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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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and closely with other members of the project team. About you We are looking for a motivated, highly qualified individual with a PhD in criminology, law, social sciences or a cognate discipline, who
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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
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ensure the reliability and accuracy of the measurement system before its full implementation in production. About the team - Rolls-Royce University Technology Centre (UTC) in manufacturing and on-wing
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discoveries (Mehra et al., Science, 2022), this project aims to identify novel genes and regulatory pathways involved in sensing water availability in the model plant Arabidopsis thaliana. We are particularly