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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
, including the 17,000-core Longleaf cluster optimized for I/O intensive workloads with dedicated GPU and large-memory partitions. The Research Triangle area is a dynamic collaborative environment with UNC
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
, including the 17,000-core Longleaf cluster optimized for I/O intensive workloads with dedicated GPU and large-memory partitions. The Research Triangle area is a dynamic collaborative environment with UNC
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groups that are historically underrepresented in physics departments. These researchers will work with Prof. Michael Troxel to lead large-scale structure (weak lensing and galaxy clustering) projects
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engineering and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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for the 2026 intake. Interview by the respective clusters for shortlisted applicants will be conducted throughout the year. Final Interview by Panel for shortlisted applicants will take place from March to April
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are creating a world-class innovation cluster for the life sciences. For more information about the lab and team, visit www.camunaslab.org and our research profile . 💻 Position 1 – Postdoctoral Fellow in AI
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-ATLAS cluster, composed of three UAE institutions. Candidates must demonstrate experience in experimental high energy physics. The group will be contributing to the Physics Modeling (MC software, MC
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perovskite thin films applications using slot-die coating and other large-area deposition methods. Analyze experimental data to optimize material and device performance, write scientific reports, and publish
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and analysis of big data, especially genetics and genomics datasets. However, we will consider qualified applicants with experience in other related research areas. The successful applicant is expected
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, and to develop therapeutic avenues. The group is particularly interested in understanding how genomic information is used to direct cell-specific gene expression, and to pinpoint gene regulatory defects