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. Demonstrated skills for managing and sustaining large-scale transformational change. Demonstrated ability to work collaboratively in large-scale settings such as in a multi-campus institution. Demonstrated
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subject area. The department has education assignments in engineering programs and master's programs. More information is available on our website . (https://kemi.uu.se/angstrom/?languageId=1 ). Work duties The
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samples at multiple scales to determine mineral composition and paragenesis. Data collection and reporting responsibilities include preparation of drill core samples for detailed textural and mineralogical
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activity using fully compressible MHD in global and local frameworks, integrated with physics‑informed machine learning and coronal/wind modelling. Key tasks and responsibilities: Develop and implement data
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events primarily on the GVL and OCN campuses, but also supporting large events on other campuses. Provides training for faculty, staff, and students on AV infrastructure equipment and software. Works with
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
Driver’s License, Weekend work occasionally Special Instructions Quick Link https://unc.peopleadmin.com/postings/325466 Contact Information Office of Human Resources Contact Information If you experience any
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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/hour Type of Position Staff Position Time Status Full-Time Required Education HS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
Posting Information Posting Information Department Ackland Art Museum-520500 Career Area Development and Fundraising Posting Open Date 09/15/2026 Application Deadline 10/06/2026 Open Until Filled
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via the online application system available at https://www.apply.up.pt (Ref. BII2-PVBoost-BOLS-FEUP-26-24) by 17-09-2026 Additional Information Benefits 701,12 € Eligibility criteria Full announcement