73 phd-computer-science-"IMPRS-ML"-"IMPRS-ML" Fellowship positions at University of Nottingham in United Kingdom
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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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of disseminating research findings (e.g., through journal publications and conferences). - Have a PhD in Psychology or a related discipline (the PhD thesis must be submitted prior to starting the position). What we
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will be working closely with colleagues within the Business School and across the hub to conduct primary research and develop social-science informed approaches to translating hub innovations into policy
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of second-generation Quantum Technology (QT) systems. Your successful application will mean you will join an established team of QT researchers. Within the team you will develop, refine and apply high
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at University of Nottingham, France, Switzerland, Italy and South Africa Description for Internal Candidates The school of life Sciences is looking for a motivated research fellow for an exciting MRC-JPIAMR
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teams to design, implement, and optimise innovative solutions that push the boundaries of technology. The role will span various stages of the project lifecycle, from initial concept development to final
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in adults with cerebral palsy; this project has been funded by NIHR Programme Development Grants. You will conduct a scoping review, recruit and interview participants, analyse qualitative data
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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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knowledge on responsible innovation when AI is used to create, document, reactivate and conserve artworks and their archives. The successful applicant must have a PhD (or close to completion) in Philosophy
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The University of Nottingham is seeking to appoint an exceptional and motivated Senior Research Fellow to join the Digital Cancer Screening Research Group, led by Professor Yan Chen, within the School of Medicine. The group is internationally recognised for its work in the application of...