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technologies, data-driven approaches, sustainability, and modern mining systems. Demonstrated research and scholarly publication experience, along with meaningful industry experience, are highly valued, as they
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technologies, data-driven approaches, sustainability, and modern mining systems. Demonstrated research and scholarly publication experience, along with meaningful industry experience, are highly valued, as they
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25 Feb 2026 Job Information Organisation/Company GESIS - Leibniz Institut für Sozialwissenschaften Department Cologne/Mannheim Research Field Sociology Researcher Profile First Stage Researcher (R1
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and secondary resources. The group closely collaborates with other research groups at the Center for Sustainable Resources (CSR|Berlin, https://www.csrberlin.de ) at Freie Universität Berlin and beyond
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evidence of specialized training, education or publication in the area the candidate will teach, which may include the following relevant areas: PowerBI, data mining and analysis; interface design; visual
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- Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our understanding of cyber campaigns
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system performance. Mine various data resources for development of key metrics, calibration targets, and general data useful for planning and research study design. Perform error analysis and model
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-_graduate_student_application_for_ta_-_english_-_jan_2021_-_fillable.pdf Hiring Unit: Mining and Materials Engineering For information on each position, refer to the job postings list by visiting our website https://www.mcgill.ca
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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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on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Design and implement scalable, robust data