232 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of London in United Kingdom
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team and the Head of Delivery to ensure the collection of necessary data for reporting purposes and that it is compatible with the teams’ workflows and activities. Provide support to CoSTAR
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evaluating predictive time series models and using R to manage, analyse and visualise data including developing re-usable code in collaborative projects using platforms such as Github is also essential
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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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of relevant legislation (eg General Data Protection Regulations, Equality Act). Further particulars are included in the job description. The post is part-time 21 hours per week, 0.6 FTE and permanent
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linked EHR data. This project explores socioeconomic and ethnic inequalities in respiratory virus transmission and their impact on GP services in winter and whether these pressures are evenly distributed
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, system integration, system evaluation, image processing, data analysis, and excellent written and verbal communication. The ability to work both independently and as part of a collaborative
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mentors. You will also contribute to evaluating the impact of peer support activity, using student feedback and participation data to inform continuous improvement and reporting to internal stakeholders
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governance and data protection requirements, and contribute to a supportive research culture About the School/Department/Institute/Project The WIPH is an exciting and dynamic environment, home to 450+ staff
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of data collectors; and working with multi-country teams. Availability and willingness to travel abroad, including to Lebanon, are essential. Further particulars are included in the job description. The
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research standards, including animal handling, experimental procedures, and colony management. The postholder will contribute to experimental design, data interpretation, and dissemination of research