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Field
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implementations of these new techniques (e.g., by leveraging data-parallel functional array programming techniques); giving mathematical proofs of their correctness and efficiency, as well as robust evaluations
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cultivation of the beneficial microbes of the human microbiome. This work involves the use of parallel plating in microtiter wells of combinations of nutrients and bacterial cells, using multiplate readers
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large-scale parallel filesystems, high-speed InfiniBand/Ethernet fabrics, containerized workloads, and GPU-accelerated compute. Partnering closely with the Director and HPC Architect, the manager shapes
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the creation of analytical reports to achieve client, program, and business objectives for resource optimization. Work closely with internal technology teams and vendors to deliver tools and system solutions
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fundamentals and hands-on experience with HPC systems; parallel/distributed programming and/or solid UNIX skills Proven experience operating Machine Learning (ML) in production. Able to design, automate, and
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programs for work management, retrieve workflow information, job assignments and material and labor data entry. Must be accurate and timely in the use of the Computerized Maintenance Management System (CMMS
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settings. Specific Duties & Responsibilities 70% Systems Engineering, Administration, Security, and Oversight Work with Sr staff to design, organize, plan, test and implement cutting-edge hardware designs
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. Proficiency in Python programming and major ML/DL frameworks (e.g., PyTorch, TensorFlow). Solid understanding of optimization and regularization methods for training complex neural networks. Practical knowledge
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with high-performance computing (HPC), parallel computational fluid dynamic simulations can currently resolve spatial and temporal scales of industrially-relevant turbulent flows within days/weeks
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to statistics and data science, behavioral economics to social and political history, Dietrich College is home to 11 humanities and sciences departments, programs and institutes. Our world-class faculty and