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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
collaborate with colleagues from multiple universities across the Research Triangle, the United States, and even the world. Position Summary The Research Assistant (RA) will support advanced research in
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formula writing, pivot tables, charts, macros, VBA, etc. Experience with programming languages, e.g. R, Python, SQL, JavaScript Experience with relational database management systems, e.g. MySQL, Microsoft
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to a global scale, targeting multiple oceanic bioprovinces to robustly quantify the alkalinization-attributable signal against natural carbon cycle fluctuations. The postdoctoral researcher will be
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development background with programming experience in Python, C++, MATLAB, or LabVIEW. Brief Description of Duties (Postdoctoral Associate): The selected candidates will join the Atmospheric Remote Sensing
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prosperous global future depends on the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities
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/software development, demonstrating significant contributions to scientific projects involving advanced image analysis. 2. Demonstrated advanced programming and data-analysis skills in Python, and
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Summary
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ecosystem service evaluation for the organisation. Demonstrable experience of raising external funding for science projects, particularly in applied conservation streams and working with multiple partners
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technologies across multiple domains. • Experience with SIEM, SOAR, EDR, DLP, CASB, vulnerability management, and cloud security platforms. • Proficiency in scripting and automation (e.g., Python, PowerShell
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to multiple and diverse audiences. • Design and develop institutional dashboards (e.g., enrollment, retention, graduation rates) using tools like Tableau/Power BI for campus leadership and external reporting