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Field
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Arcus alumni who are known across the country for using architecture, planning, and design to serve the public good. In parallel, this role helps make career services more accessible to Arcus Fellows
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clustered computing services to researchers who process large data sets and/or develop code as a part of their project. Ensure the availability, performance, scalability, and security of production systems
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fixed paraffin embedded tissue, with subsequent library preparation and massively parallel sequencing (performed at a core facility). Sequencing data generated can be analyzed using existing software
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preparation for DNA, RNA, protein and metabolomic profiling, data analysis, and seed multiplication. Under limited supervision, design and perform experiments and data analyses, design new processes by adapting
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responsible for the design and implementation of the administrative systems and processes to ensure successful delivery of these diverse activities, working closely with a key Africa-based implementation
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is responsible for anticipating staffing needs, the recruitment of qualified staff and all subsequent training, performance evaluations, personnel matters, and process improvements. Key
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Job Summary Serves as a catalyst in the learning process by presenting course content in an organized and motivating way, keeps current in the chosen field of study, and responds to students as
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research infrastructure service for processing data, and supporting the scientific exploitation of observational data, obtained with the world's largest radio telescope running on a Kubernetes (K8s). In
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/Software Engineer (Computer Systems Engineer 3/4) at the National Energy Research Scientific Computing Center (NERSC) to help architect, deploy, configure, and operate large scale, leading-edge high-performance
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two high performance cluster operating systems such as OpenHPC, ROCKS, Bright/Nvidia Cluster Manager, Open OnDemand. Familiarity with large scale high performance parallel file storage systems such as