431 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Postdoctoral research jobs in United Kingdom
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for optical imaging. Experience and interest in data analysis and the ability to perform basic biochemical work with proteins and DNA will be highly rated in the selection process. The ideal candidate will hold
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of applying them to data. Collaborative endeavours with members of the IPMU and Oxford groups is highly encouraged. You will have the opportunity to teach. Applicants should have a PhD (or close to completion
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at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page The Role and Department The Department The Department of Sport and Exercise Sciences is a global
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Biology Research Institute / Unit Information The MRC Laboratory of Molecular Biology (LMB) is one of the birthplaces of modern molecular biology and has played an important role in the development of many
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About the Role This is an opportunity to work as part of the team and project “Uncertainty Aware Data Attribution Of Vision-Language Models” funded by Huawei Technologies Duesseldorf GmbH, led by Dr
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, Research and Teaching 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
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responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research
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at the interface of sport performance, health, data science, and innovation, with real-world impact across Crystal Palace FC's teams and departments. Your main duties and responsibilities will include, conducting
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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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responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research