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We are looking to recruit a Transitional Assistant Professor to the School of Computer Science to enhance our successful and growing department. This post contributes to Professor Benford’s newly
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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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Programme and Counselling Service- 24/7 support. Supplier discounts, travel, and reward schemes. Staff Networks, and wellbeing activities and state of the art sports facilities. Uniform provide plus the tools
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We seek to recruit a Research Associate/Fellow to join our team developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph nodes during breast cancer surgery. The instrument will allow surgeons to check the sentinel lymph...
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The Primary Care Education Unit (PCEU), Centre of Academic Primary Care at the University of Nottingham are looking to appoint a Research Fellow to become part of a programme of research within
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The Mechanical and Aerospace Systems Research Group (MAS) requires a Senior Research Fellow who is experienced in the fields of solid mechanics and stress analysis to work across several industry relevant projects and for the development of future group research strategy. MAS has a large...
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We are looking for a researcher, whose expertise lies in wave simulations, to work with Prof Gregor Tanner and Dr Martin Richter on an EPSRC-funded project entitled “xDEA - Vibro-acoustic energy flow in hybrid systems: improving the simulation of engineering structures”. As part of the project -...
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Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The
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strengths in AMR modelling, novel therapeutics, diagnostics and digital data/informatics. The role holder will develop a career-appropriate track record in both research and teaching. You will contribute