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with programme ideas moving into the development stage. This work runs in parallel to the launch of a revised SSPP Strategy 2030, Shaping Global Change. SSPP is also launching a Methods Centre and a
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the management of national and campus-level high-performance computing (HPC) clusters and their associated storage systems, including large parallel file systems, NFS file servers, and underlying storage
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students in occupational/technical programs and university-parallel/college transfer programs. This position provides Academic and Financial Services to support the educational purposes of the College
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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2025, or as soon as possible thereafter. The project explores two parallel technological routes for converting captured carbon dioxide into microbial biomass: One fully biological, and the other a hybrid
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-of-the-art targeted approaches, including massively parallel reporter assays, induced-pluripotent stem cell assays, and CRISPR engineered cellular and mouse models. About the Position: We are seeking a highly
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and maximize model performance and generalizability. Optimize data processing and retrieval workflows to minimize latency and maximize throughput, leveraging parallel processing, caching, and other
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, information theory, clustering. Familiar with: computer science: tool development, 3D rendering, databasing, multi-threading, parallel port computing. Other qualifying skills & abilities: Excellent written and
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to handle lab work and sequencing data in parallel. Good communications skills and the ability to coordinate with team members to deliver objectives are essential. Additional information: Salary
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arrays. Additionally, a high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You should have a relevant