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management of HPC systems within a classified environment. We are looking for candidates with experience in HPC architecture, cluster management, and parallel computing, with a proven ability to work within
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Experience writing proposals Experience in cloud computing, including containers Experience in HPC topics, such as parallel programming Note: Visa sponsorship is not available for this position. Rewards and
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and cloud computing platforms. Formulating necessary solutions using various parallel computing paradigms and tools, HPC schedulers (such as slurm), Containers and Kubernetes, Python, Bash and other
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parallel, work to firm deadlines, and follow through on external dependencies. Meticulous, detail-oriented approach to record-keeping and documentation. Ability to work independently, take initiative and
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and projects, often on a number of parallel and competing tasks. Work with discretion to decide on the timing of operations within the work team’s agreed plan and plan ahead to meet experimental and/or
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results Job Description Primary Duties & Responsibilities: Designs, develops, and implements: Algorithms and computer software for omics-based data sets (high-throughput, massively parallel genomic
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: Implements: Algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical]; Data management and analysis solutions that aid in the storage
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engagement on our campus. Duties & Responsibilities: Assists the college athletics program to achieve the parallel goals of development of quality, competitive athletics teams and support of the individual
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that govern these processes, we aim to uncover the drivers of pathological remodeling. In parallel, we are interested in the regenerative capacity of vascular tissues and the potential for cellular
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technical support for research projects. Familiarity with shared memory and distributed memory parallelism (e.g., OpenMP, MPI, OpenACC), accelerators (e.g., GPUs), and large-scale file systems. Proven