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contribute to the excellence of our academic community. The selected postdoctoral fellow will join HAClab at Emory University, directed by Dr. Ravi Parikh, to lead research at the intersection of large
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
focused on quantifying the role of cities in global climate mitigation. This project integrates satellite remote sensing, Integrated Assessment Models (IAMs), and large-scale geospatial data to evaluate and
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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analysis of large data sets Prior experience in signal transduction research Knowledge, Skills and Abilities: PhD level knowledge and understanding of basic cellular and molecular biology Expertise in cell
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Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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journals and presenting findings at conferences or academic settings. Database Management: Experience with database management systems and data warehousing, including the ability to handle large datasets
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
Posting Information Posting Details Department Renaissance Computing Inst - 637100 Posting Open Date 08/05/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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construction activities that are associated with the disciplined allocation of capital to large-scale infrastructure projects by corporations. The analysis is expected to identify key development
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the
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data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity