73 phd-position-for-fully-funded-reserch-in-computer-vision Fellowship positions at University of Nottingham
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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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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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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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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
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diverse and interdisciplinary team from recent PhD graduates in human geography or cognate fields. Applicants must have experience of undertaking fieldwork with garment worker communities and must have
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positively encourage applications from underrepresented groups, for example women and people from Black, Asian, and minority ethnic backgrounds. We are also supportive of requests for flexible working and to
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CRISPR-CAS9 gene editing using rodent malaria parasites, cutting edge cell biology, phosphorylation assay and phosphor-proteomics. Candidates must hold a PhD, (awarded or pending) or equivalent in a
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contribute to the development of several funding applications with a wide range of industrial partners and will be able to demonstrate a high degree of independence by proposing new research themes and
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the Biodiscovery Institute at the University of Nottingham. The successful candidate will work on a UKRI-funded project to evaluate spatial metabolic profiles in cholangiocarcinoma, cancer of the bile duct. You will
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