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Field
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to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required
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, and parallel computing, with a proven ability to work within highly secure and regulated environments. This role involves close collaboration with security teams, scientists, and IT leadership to ensure
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research assistant support, an annual allocation of funds to support travel and research, a shared computer cluster for parallel computation, a grants office, and several internal research funding
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of custom computer code, and the processing of large-scale simulations using massively parallel resources such as NERSC and Raj cluster at Marquette. Conduct research with a significant degree of independence
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targeting large-scale computational resources that involves numerical methods, parallel algorithms, inter-process communication and synchronization, and at least one traditional high performance computing
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international team studying human aging and pathology using computational and molecular methods. Our group develops computational methods for the analysis of large-scale biological datasets, including spatial
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and deployment of HPC systems, ensuring they meet the computational needs and security requirements of a classified environment. Create and maintain detailed documentation of HPC architectures
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laboratory and database administration. Experience with processing data from massively parallel DNA sequencers, computation on high performance compute clusters, using open source database management systems
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of Delaware. The Scientific Applications Consultant's primary responsibility will be to facilitate the use of shared research computing resources across the state of Delaware with a focus on researchers and
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platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit