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30 Dec 2025 Job Information Organisation/Company UNIOVI Department Oficina de Proyectos Europeos Research Field Chemistry Researcher Profile First Stage Researcher (R1) Positions Bachelor Positions
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financial goals through enrollment data analysis, predictive modeling, and decision support. This role combines deep analytical expertise with business acumen to transform complex data into actionable
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program state and national accreditation preferred. Experience with grant development is preferred. Must possess strong statistical/analytic skills and understanding of statistical concepts and data
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Instructions to Applicants Resume and Cover Letter are required. Department Summary The UCLA Agile Visual Analytics Lab (AVAL) empowers national, state, and local stakeholders to use data to make more timely and
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Science, Information Systems, Business Analytics, or closely related field Experience in facilities/space analytics; implementation of the National Center for Education Statistics (NCES) criteria, and
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 22 days ago
, supervising other analysts' and students' analyses. Ability to quickly and easily learn new software, an 'analytical mindset' for identifying data issues and trends, solving problems, demonstrated data
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programming languages, a basic understanding of biomedical research and data management, strong analytical and problem-solving skills, excellent communication and interpersonal skills, and the ability to work
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for accurate and reliable reporting. Reporting to the Senior Manager, UFA Data Analytics, this role collaborates across departments to deliver trusted data solutions that support accurate reporting and
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UNIVERSIDAD CATÓLICA DE MURCIA - FUNDACIÓN UNIVERSITARIA SAN ANTONIO DE MURCIA | Spain | 13 days ago
platforms o Data-driven sensor signal processing • Fluent English proficiency (B2/C1 level or higher). • Strong analytical, problem-solving, and experimental skills. Personal Skills We are looking
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working full-time. The Population Data Science group at Swansea University (https://popdatasci.swan.ac.uk/ ) supports world-leading research to develop cutting-edge analytical tools and methodologies