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communication skills and motivation to work collaboratively Ability to work independently and manage multiple projects in parallel Proficiency in spoken and written English Desirables: Hands-on experience with
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matter or neutrino physics experiments. Knowledge of hardware integration and real-time control systems. Familiarity with high-performance computing and parallel processing techniques. Proven track-record
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
will investigate the regulatory activity of genetic variants associated with neuropsychiatric and neurodegenerative disorders using diverse functional genomics approaches, including massively parallel
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proteomics and/or immunopeptodomics in clinical or translational research settings; Demonstrated expertise in: Data-Independent Acquisition (DIA), Parallel Reaction Monitoring (PRM), Quantitative proteomics
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. Design and implement distributed and parallel approaches that efficiently leverage large-scale computing resources, including heterogeneous CPU/GPU systems, along with the possibility of working with
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workflows to enable AI-readiness at scale. You will work on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed
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computing for science and engineering; focuses on grand-challenge science and engineering applications; procures largest-scale computer systems (beyond typical vendor design points) and develops high-end
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and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and
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research project in any of several areas relevant to this topic, and to explore multiple lines of research in parallel. Most projects employ a combination of bacterial genetics, high throughput genetic
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to this topic, and to explore multiple lines of research in parallel. Most projects employ a combination of bacterial genetics, high throughput genetic screens, biochemistry, ribosome profiling (ribo-seq