321 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"P" Postdoctoral positions in United Kingdom
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power WhatsApp's servers, Uber's software infrastructure, and the NHS information backbone. Two key advantages of message-passing concurrency are that it is higher-level and avoids data-race bugs by
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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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a relevant field and have relevant background knowledge in omics data generation, genome engineering, 3D genome, and computational biology. This is a hybrid wetlab and computational position, and the
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analysing visual or multimodal data, and a strong theoretical understanding of ethnography and critical disability studies or critical autism studies. Applicants should also have experience in designing and
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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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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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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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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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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