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Assistance Programme and Counselling Service - 24/7 support. Supplier discounts, travel, and reward schemes. Staff Networks, events and activities and state of the art sports facilities. A permanent post for
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team consists of researchers across sustainability, food systems, operations and supply chain management, computer science, environmental and animal science, and environmental statistics. The successful
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), posterboards (answering questions and ensuring they stay on the boards) and YP event (running games) Skills and experience required – A good understanding of ECCE topics included in the programme – PE/EMC
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The post holder will be expected to work collaboratively as part of an interdisciplinary team, as well as undertaking independent research. They will use approaches, methodologies, and techniques appropriate to the study, in accordance with the study methodology. Specific tasks will be...
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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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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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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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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. The Research and Knowledge Exchange (RKE) Business Analyst supports the Business Analysis and Reporting team, monitoring delivery against the University’s Research and Knowledge Exchange strategies. A...
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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