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. Scalability of Preprocessing Pipelines: Design and implement automated, parallel preprocessing workflows capable of handling multi-petabyte datasets efficiently while reducing throughput bottlenecks. Data
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. Demonstrated experience developing and running computational tools for high-performance computing environment, including distributed parallelism for GPUs. Demonstrated experience in common scientific programming
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with the use of laminar/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project
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. Correlate fluorescence, label-free, mass spectroscopy, and microscopy data form a microarray platform to develop a parallel readout of protein function. Correlate and curate data from various instruments and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
parallel experimental streams Experience with host-pathogen interactions, immune regulation, innate and adaptive immune responses Special Physical/Mental Requirements Special Instructions For information
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research resource for the department, ensuring reliable study execution and operational support for faculty research. In parallel, the postdoc will advance their own research program and collaborate with
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system. We have a variety of ongoing projects that leverage high throughput reporter assays (e.g., Massively Parallel Reporter Assays) to understand gene regulation in the living brain. We apply
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software for multi-arch environments Development in high-performance computing (HPC) or distributed systems Strong understanding of Linux toolchains, build systems (CMake), and debugging tools Parallel
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Lab researches on a variety of computer systems topics including HPC resilience, data center power management, large-scale job scheduling and performance tuning, parallel storage systems and scientific