317 data-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United Kingdom
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well as interpreting multi-omics datasets. The role will therefore require state-of-the-art skills and confidence in wet-lab research, data analytics, and oral and visual communication. This is a full time 35 hours per
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Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria Fluency in English Strong skills in
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models. These models will leverage both imaging data and corresponding radiology reports during training to build comprehensive representations that capture the rich, complementary information contained in
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inventory data from mature and secondary forests with assessments from restoration sites. You will be expected to perform data analyses, author research papers, lead field expeditions to Brazil to fill key
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Theoretical Physics. The successful candidate will work on the research project MakingAI: AI-Driven Integration of 'Messy' Data in Technical Art History, a close interdisciplinary collaboration between
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Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About You To be successful in this role, we are looking
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, functional genomics data analysis or molecular genetics. You will have the ability to manage your own academic research and administrative activities and have a track record, commensurate to your career stage
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in candidate multilayered data storage media. The post will include measurement of novel multilayered magnetic materials by a variety of optical measurement techniques. This will include wide field
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team. The focus of your work during the project will be a near 7-year record of time lapse camera data collected overlooking the marine terminating glacier Narsap Sermia, SW Greenland. This hourly
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of Biomedical Engineering & Imaging Sciences. About The Role The research associate will lead the development of cutting-edge multi-modal MRI foundation models. These models will leverage both imaging data and