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team to jointly explore new approaches to resource recovery. The topic area “Urban Mining” focuses on the recovery of metals from primary and secondary sources such as natural ore, mine waste, as
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data visualization. Knowledge of statistical analysis and data mining techniques. Knowledge of database design, database management, and data governance best practices. Knowledge of programming languages
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. Using metagenomic sequencing of microbial communities from lithium-rich environments, including samples provided by industry partners (Cornish Lithium, Llamara), the student will mine environmental
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23 Jan 2026 Job Information Organisation/Company IMT Mines Ales Department Human Ressources Department Research Field Computer science » Computer systems Researcher Profile First Stage Researcher
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available
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Teaching assignment may include the following areas: machine learning; exploratory data analysis; feature engineering; AI for Everyone; special/emerging topics; data mining and analysis; business
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Post-Doctoral Position in Biomedical Data Mining - (180000MG) The Biomedical Data Mining Lab, Department of Radiology, at University of Maryland School of Medicine, Baltimore is seeking a candidate
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 2 months ago
for Energy and Environmental Policy Research (CEEPR) is seeking a motivated post-doctoral associate to work on the mining and processing of minerals related to the energy transition. The Postdoctoral Associate
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cause of premature mortality and healthcare burden globally. We are now looking for an enthusiastic and talented person to strengthen the Unit’s expertise in data mining, artificial intelligence
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of this PhD project is to analyze the various epistemic, economic, legal, political, and social dimensions of acceptance related to brine mining projects, using established qualitative and quantitative methods