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mines or mining infrastructure. The project advances understanding of the range of authority and soft-power mechanisms at play in the contemporary extractivism. It investigates whether and how extractive
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mines or mining infrastructure. The project advances understanding of the range of authority and soft-power mechanisms at play in the contemporary extractivism. It investigates whether and how extractive
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proficiency in educational data mining and AI for education, with the ability to handle a large volumes of data Prior experience working with LLMs, including programming, fine-tuning, evaluating, and
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in a PhD thesis submitted to the University of Oslo. We seek a highly motivated candidate with a strong background in molecular biology, human genetics/genomics, data mining, machine learning, and
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at the intersection of mining, social performance, cultural heritage, and Indigenous engagement. As a Senior Research Fellow within the Centre for Social Responsibility in Mining (CSRM), you will lead high-impact
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and ambitious researcher with a strong background in molecular biology, human genetics/genomics, bioinformatics, machine learning, data mining, and computational programming, including software
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 22 hours ago
, bioequivalence, quality control, cardiac safety, and data mining. Past fellows have been involved in the development of statistical methods, software tools, and new drug application databases for the analysis
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molecular biology, human genetics/genomics, data mining, machine learning, and computational programming. The ideal candidate will hold a Master's degree in bioinformatics or computational biology. Applicants
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 22 hours ago
structured learning opportunities in regulatory science and computational modeling applications in drug development and use of artificial intelligence for data mining. You will gain experience in regulatory
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. Experience with quality control procedures for high-throughput biological data. Knowledge of data mining approaches for biomarker discovery, with the ability to interpret findings in a biological context