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or multi-omics datasets. Proficiency in data analysis and computational modeling using R, Python, Bash, etc. Experience with automated pipelines and workflows (HPC, GitHub, Docker). Strong understanding
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
interdisciplinary research groups, and collaborate with colleagues from multiple universities across the Research Triangle, the United States, and even the world. Position Summary This position is responsible
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours 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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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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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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/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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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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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