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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
project strategy while helping coordinate efforts across multiple parallel projects. We are seeking candidates who thrive in a fast-paced, innovation-driven environment and who are excited to work across
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Appointment Term: Open-ended Appointment Start Date: ASAP Group or Departmental Website: https://hinshawlab.stanford.edu/ (link is external) How to Submit Application Materials: Please submit your application
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The University of North Carolina at Charlotte | Charlotte, North Carolina | United States | 8 days ago
and relevant work experience. Preferred Education Skills and Experience: Experience in High Performance Computing related technologies such as schedulers, parallel computing, storage systems
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 22 hours ago
. Preferred Education, Knowledge, Skills and Experience Experience in High Performance Computing related technologies such as schedulers, parallel computing, storage systems, or scientific applications
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approaches include MHD, Vlasov, and hybrid codes run on computers ranging from PCs to massively parallel computers, while analytical work involves linear and nonlinear instability theories. Location: Goddard
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-on activities with real-life implications. The Saturday Learning Academy parallels and reinforces coursework found in the conventional academic setting. Students spend the academic year learning about computers
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of metabolic pathways essential for biosynthesis and redox balance. We investigate how p53 integrates metabolic cues by functioning as both a sensor and regulator of cellular metabolism. In parallel, we seek
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Desktop environments and/or comparable virtualization environments (Omnissa Horizon, Citrix XenApp, or Parallels RAS Demonstrated ability of independent decision-making and troubleshooting capability
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Proven experience with multiple parallel programming paradigms, including but not limited to; MPI, OpenMP, and CUDA (Compute Unified Device Architecture) Experience in a batch HPC environment with a
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interests, you will have the opportunity to work with: High‑throughput functional genomics: pooled CRISPR and base‑editing screens, barcoded overexpression libraries, massively parallel reporter assays