69 phd-position-for-fully-funded-reserch-in-computer-vision Fellowship positions at University of Nottingham
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able to plan and conduct your own work independently, whilst also being able to build relationships and collaborate with others. A PhD (or near to completion) in human metabolic physiology, nutrition
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(hiPSCs), cardiomyocytes, metabolism About the project We are recruiting a postdoc (established or newly graduated from their PhD) who has an exceptional ‘can-do’ attitude, with drive and enthusiasm to push
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) funded programme of research into eczema online trials, led in partnership with citizen scientists (Rapid Eczema Trials https://rapideczematrials.org/ ). You will play a senior and significant role in
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-based role focusses on electromagnetic design, computational modelling (e.g., COMSOL, CST, ANSYS), dielectric characterisation, and testing that help to bridge the gap between laboratory-scale research
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. You will be responsible for supporting the delivery of a large National Institute for Health Research (NIHR) funded programme of research into eczema online trials, led in partnership with citizen
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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the development and execution of long-term research strategies aligned with the University’s objectives, securing substantial external funding to sustain large-scale, interdisciplinary projects. The role holder
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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
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lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. To acquire, analyse, interpret
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Applications are invited for the above role to support a project entitled “Assessing the effectiveness of multi-level states’ policy responses to Covid-19” at the University of Nottingham, funded by