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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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Responsibilities: Conduct research in Systems Biology to study cell signaling Perform large-scale signaling analysis or protein-interactome analysis Utilize machine learning-based biological data mining and analysis
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: PhD degree in learning sciences, educational technology, human-computer interaction (HCI), information technology, AI or relevant fields. Prior experience and proficiency in educational data mining and
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led by Dr. Nadezhda Mamontova, based in the School of Geography, Earth and Environmental Sciences, University of Birmingham. This project examines how copper mining shapes the lives of Arctic Indigenous
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Paper (Geoscience Characterisation (data acquisition, integration, and modelling), Rock Mass Conditioning technologies, Geo-risk Management and hazard modelling, Material Flow in Deep Cave Mines, Mining
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). Skill and experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially
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. Familiarity with statistical techniques and data mining methods. Knowledge of database concepts and experience working with large datasets (good to have). Strong attention to detail and ability to handle 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