359 data "https:" "https:" "https:" "https:" "University of New Hampshire" positions at University of Nottingham
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We are seeking a motivated and creative Data Analyst to join our Strategy and Insights Team. Our Statutory Student Reporting Team is responsible for analysing the full student lifecycle and
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The University is seeking an experienced Senior Information Compliance Officer to join our Information Security and Compliance Team within the Governance and Assurance department for a 12 month
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Course: PhD studentship Project title: Exploring a One Welfare approach to human-animal-computer interaction in digital dairy technologies Principal supervisor: Charlotte Doidge Other supervisors
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The Nottingham Clinical Trials Unit (NCTU) are recruiting for a Data Coordinator to be a part of the Data Management team. You will report to a Data Manager and your role will be responsible
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human-animal-computer interaction lens, examining how digital tools shape farmer-cow relationships, perceptions of care, and welfare‑related decisions. The project will investigate how farmers engage with
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awarded within 3 years in business administration, computer science, information systems, data science, or a related discipline. Programming & Data Skills: Strong proficiency in Python (e.g., NumPy, Pandas
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among the top UK Computer Science departments (http://www.nottingham.ac.uk/computerscience/ ). The School at UNNC offers a full range of undergraduate and postgraduate computer science programmes
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has recently been awarded by the European Commission. For information about this project can be found here: https://www.agriscience.fm Your duties and responsibilities: Familiarise with the state
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Science departments (http://www.nottingham.ac.uk/computerscience/ ). The School at UNNC offers a full range of undergraduate and postgraduate computer science programmes. Supported by major research grants, the School
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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