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: surveys, secondary data analysis (e.g., audience metrics, platform analytics); Scenario-building. The position requires relocation to Belgium as the candidate will be enrolled in the Vrije Universiteit
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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | about 1 month ago
6 Mar 2026 Job Information Organisation/Company CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto Department N.A. Research Field Chemistry Researcher Profile Other
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Posting Number req25481 Department AZ Veterinary Diagnostic Lab Department Website Link https://azvdl.arizona.edu/ Location To Be Determined Address 2831 N Freeway, Tucson, AZ 85705 USA Position Highlights
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metrics for the College. Centralized research metrics leadership: structured collection, organization, and maintenance of College research data (grants, publications, trainees, outputs). Preparation
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management, and compliance with the EU AI Act. General Requirements: Hold at least a Master’s degree in computer science, AI, data science, engineering, or a related field. A PhD is a strong advantage. Strong
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the project’s deliverables. 2. To perform internationally competitive research in the analysis of transcriptomic and epigenetic data. 3. To provide analytical and statistical expertise, and algorithms for data
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, organizational behavior, organizational mentoring, human resource management analytics, staffing, performance and compensation, and other management courses as needed and depending on the qualifications
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: The Department of Computational and Data Sciences (CDS) (https://sciences.gmu.edu/cds) at George Mason University (GMU) is a rapidly growing department for data science and computing innovation. Part of
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PhD in Information Systems/Computer Science/Economics/Information Science or a closely related field with a strong dedication to research and teaching excellence. The appointees should be capable
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shape the response to anti-cancer therapy. Recent advances in digital pathology and innovative data analytics including machine learning have enhanced our ability to identify clinically relevant spatial