57 computer-programmer-"https:"-"UCL" "https:" "https:" "https:" "https:" "https:" "https:" "P" "I.E" research jobs at University of Nottingham
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arrangements with you. If it sounds like you would be a good fit, we look forward to hearing from you. For information about the School of Mathematical Sciences and active research themes see: http
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explore and develop new types of memristors that can be switched both optically and electronically, therefore opening the route to new applications in computer vision. The position will be based in
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in promoting talent cultivation and innovation as well as that of UNNC. UNNC’s undergraduate programme of Business Administration was launched in 2004 and the doctoral programme in 2009. The subject
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with local NHS Trusts, and is fully-registered by UKCRC (http://www.ukcrc-ctu.org.uk ). Our mission is to conduct high quality, high impact, multicentre trials to improve health and well-being. We
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. For information about the School of Mathematical Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx . If you are interested in this position, please click Apply Now and
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advised that normally your references will be contacted prior to the interview. For more details and/or to apply on-line please access: https://jobs.nottingham.edu.cn/job/184375/ If you are unable to apply
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human electrophysiology, with sensitivity and spatial resolution rivalling invasive metrics (i.e. electrodes placed in the brain). Testing of the new high-density device will be in both healthy control
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Elena Besley to work on the “Enabling Net Zero and the AI Revolution with Ultra-Low Energy 2D Materials and Devices (NEED2D)” Programme Grant. The NEED2D project funds a team of UK scientists at Queen
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, to deliver the final stages of this multi‑year research programme and support the production of high‑quality scientific outputs. About you- You will bring strong data analysis skills, including
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working with Johnson Matthey, but aligned with the EPSRC funded Programme Grant “Dialling up performance for on demand manufacturing” (EPSRC reference: EP/W017032/1). Our vision is to create a toolkit and