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, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ Minimum Required Qualifications: Associates
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admissions. This individual is responsible for interpreting admission, financial aid, and university policy to the general public. The individual will utilize data and access various systems to help
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funding availability and satisfactory performance. Applicants should possess a Ph.D. degree with a specialisation in Psychology and Computational Modelling/advanced neuroimaging data processing skills/big
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reporting workflows and the scarcity of specialist expertise required to interpret studies. Advances in artificial intelligence (AI) and large language models (LLMs) offer new opportunities to streamline
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experience, strong financial acumen, and the ability to lead a large and complex institution through sector-wide change. Experience engaging with Māori and Pacific communities, or Indigenous peoples globally
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gain valuable skills in analyzing large data sets and solving computations models, as well as experience with programming languages, with an emphasis on Stata and Python. Prinicipal Duties and
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: david.jackson@kcl.ac.uk Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406107/research-assistant/… Requirements Additional Information Work Location(s) Number of offers
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9 Jan 2026 Job Information Organisation/Company Universite de Normandie Caen/CNRS Department Cyceron Research Field Medical sciences » Other Computer science » Other Researcher Profile Recognised
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research agenda using advanced quantitative methods—such as machine learning, computational modeling, big-data analytics, and wearable technologies—to study tourism, hospitality, and/or human performance
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
) Vacancy ID: NF0009486 Position Summary/Description: The UNC Institute for Trauma Recovery (https://www.med.unc.edu/itr/) has two overarching goals. The first goal is to increase understanding of how adverse