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proficiency in integrating spatial data into 3D models using sophisticated interpolation techniques. Additionally, the postdoctoral researcher will contribute to transforming mining liabilities into valuable
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IMT mines Alès, Mines Saint Etienne (50%/50%) | Ales, Languedoc Roussillon | France | about 2 months ago
9 Jan 2026 Job Information Organisation/Company IMT mines Alès, Mines Saint Etienne (50%/50%) Research Field Medical sciences Computer science » Database management Engineering Researcher Profile
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expertise in areas closely aligned with computational sciences. These include, but are not limited to, artificial intelligence, biostatistics, data mining, high-dimensional data analysis, machine learning
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options are NOT available for this position at this time. The Research Associate Data Scientist participates in biomedical research projects using programming, data - mining, statistics, machine learning
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geochemistry of critical minerals and the environmental implications of critical mining extraction and utilization. Integrated with the Critical Minerals Hub at Duke University, the Vengosh Laboratory
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, KY Grade Level 45 Salary Range $47,278-78,000/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https://hr.uky.edu
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online at https://yourfuture.sdbor.edu . South Dakota Mines is committed to recruiting and retaining a talented workforce and offers an excellent comprehensive benefits package including medical, dental
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Science, Statistics, Applied Mathematics, or a related field with 3+ years of experience applying and customizing data mining and data analysis methods and techniques. An equivalent combination of education
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information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience 7 yrs Required License/Registration/Certification None Physical Requirements The physical
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environments Experience with: structured design, development, and implementation of new computing architectures a variety of data sources (SAP, exposure to dashboards, OLAP and data mining tools, SQL, Oracle