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of Alabama and beyond. The successful candidate will apply tools including (but not limited to) Data Acquisitions, Data Mining, Data Visualization, Machine Learning, Statistics, Optimization and Simulation in
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 3 hours ago
evaluation, active ingredient sameness demonstration, and post marketing safety surveillance. This Division coordinates modeling, simulation, data analysis and data mining, and establishes the scientific
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PhD Fellow in Anthropology: Bushmeat, Infrastructure and Zoonotic Risk in Africa–China Contact Zones
). The research will explore how infrastructural development—particularly roads, mining, and urbanisation—shapes hunting, trade, and consumption of bushmeat, and how these changes affect human-animal interactions
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program. The successful candidate will provide strategic, intellectual, and technical leadership in the development, integration, and deployment of optomechanical sensing technologies for mining and
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bioinformatics, programming, and large-scale data mining, within a collaborative, high-performance research environment. You’ll also contribute to service and engagement activities, helping drive innovation and
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9 Feb 2026 Job Information Organisation/Company Universidade de Coimbra Research Field Other Researcher Profile First Stage Researcher (R1) Positions Master Positions Application Deadline 26 Feb
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information about AbbVie, please visit us atwww.abbvie.com . Follow @abbvie onX ,Facebook ,Instagram ,YouTube ,LinkedIn andTik Tok . Job Description Program Overview AbbVie needs outstanding individuals willing
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3 Dec 2025 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Environmental science Geosciences Researcher Profile Recognised Researcher (R2) Established
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20 Feb 2026 Job Information Organisation/Company Centro de Engenharia Biológica da Universidade do Minho Department Engenharia Biológica Research Field Biological sciences » Biological engineering
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research methods (e.g. survey, experiment), statistical analysis (e.g. regression, multilevel modeling, SEM), and computational techniques (e.g., NLP, data mining). Proven track record with publications in