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, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://equity.unl.edu/notice-nondiscrimination/ . Minimum Required Qualifications: Bachelor's degree
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This research focuses on developing and validating Big Data-driven machine
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disciplines to apply for Ph.D. studies and join the lab. LanguagesENGLISH Research FieldBiological sciences Additional Information Website for additional job details https://engels45.wixsite.com/engelslab Work
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advantage of AI tools, and build structured data products, used in machine learning and artificial intelligence-based tools for university fundraising. A typical work week will include a large amount of
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large administrative or claims data (e.g., Medicaid, commercial claims, or similar) Clear scientific writing and communication; a track record of publications Special Instructions Please include: · CV
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must have knowledge of and strictly adhere to NCAA, BIG EAST Conference, University and departmental rules, policies and procedures. Duties and Responsibilities: Monitors 14 head coaches, approximately
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20 Dec 2025 Job Information Organisation/Company CNRS Department Institut Charles Gerhardt Montpellier Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher (R1
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Swiss Federal Institute for Forest, Snow and Landscape Research WSL | Switzerland | about 6 hours ago
6 Jan 2026 Job Information Organisation/Company Swiss Federal Institute for Forest, Snow and Landscape Research WSL Research Field Agricultural sciences » Forest sciences Biological sciences
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-økonomi) and to have a solid interest in working with large quantitative datasets. You will be assisting with a) gathering large unstructured data using different methods such as web scraping or document
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recharge and drainage mechanisms. Reference simulations will be available following developments carried out by the Barcelona partner (openkarst code https://openkarst.org/ ) using data acquired in the field