362 data "https:" "https:" "https:" "https:" "U.S" positions at University of Nottingham
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areas for damaged pipes and leaks and recording and monitoring data of both the water and chemical levels adjusting computer systems as required to ensure levels always remain balanced. The successful
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the relevant subject area. Candidates should have: A PhD degree in following areas Business Analytics Artificial Intelligence Information Systems Marketing Other emerging or interdisciplinary fields relevant
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with competing priorities working under pressure to meet strict deadlines and have experience of dealing with students/young people offering support as appropriate. Further information on the duties
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International Studies. Especially attractive will be someone with a track record in quantitative research methods, policy analysis, implementation and evaluation, health policy, data science. Experience with
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members to embed accountability and data-informed decision-making across the institution, ensuring that operational plans are aligned with strategic ambitions. This is a role for a bold and forward-thinking
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CV copy. For information about the School of Mathematical Sciences and active research themes see: http://www.nottingham.ac.uk/mathematics/index.aspx . Informal enquiries may be addressed to Luis
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at the University of Nottingham, UK, which is ranked among the top UK Computer Science departments (http://www.nottingham.ac.uk/computerscience/ ). The School at UNNC offers a full range of undergraduate and
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run each day, Monday to Friday mornings on the first week of appointment. Further details will be given at interview. All of our vacancies are available to view at: https://www.nottingham.ac.uk/jobs
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contacted prior to interview and interviews will take place in Ningbo China. https://jobs.nottingham.edu.cn/job/184492/ Informal enquires may be addressed to Dr. Shuai (Bela) Yuan, Associate Professor in
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proposals for both individual and collaborative projects, utilizing established methodologies and techniques to execute research effectively within the specified area; To analyze data meticulously, interpret