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. Candidates should submit a cover letter, CV, research statement, teaching portfolio, and writing sample via Interfolio at https://apply.interfolio.com/175940 . We are seeking candidates who can demonstrate
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the Computing and AI Division at Los Alamos National Laboratory is seeking highly motivated Postdoctoral Research Associates to drive the research and development of novel sparse neural networks. This position is
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• Contribute to mentoring students and assisting with research proposal development Preferred Qualifications: • Ph.D. in ecology, atmospheric science, remote sensing, or a closely related field • Experience
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 28 days ago
. The UNC HIV Cure Center is focused on the discovery, development, and implementation of new treatments to allow durable treatment-free remission of HIV infection. The HIV Cure Center is supported by
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development, and High-Performance Computing (HPC). The postdoctoral researcher will have opportunities to engage in these areas in support of physics goals. Key responsibilities Lead and contribute to ATLAS
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This Employer https://main.hercjobs.org/jobs/22120334/post-doctoral-fellow Return to Search Results
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access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program. Visit https://hr.utdallas.edu/employees
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) • Big data pipelines, distributed computing, and geospatial data processing • Python, R, SQL/NoSQL, containerization (Docker), Kubernetes • API development and web-based analytics tools • Systems
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evaluation frameworks for analytic quality. Applications span information campaign assessment, higher education advising systems, municipal policy development and other organizational decision-making contexts
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. Candidates should submit a cover letter, CV, research statement, teaching portfolio, and writing sample via Interfolio at https://apply.interfolio.com/175940 . We are seeking candidates who can demonstrate