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Field
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part in pushing forward the boundaries of science. Core Responsibilities: Conceives, designs, implements, administers, optimizes, and monitors existing and future HPC systems and the cyber infrastructure
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professionals who respond to emergencies, safeguard communities, and ultimately save lives. We are focused on enhancing organizational effectiveness by creating an optimal work environment that empowers employees
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California State University, Los Angeles | Los Angeles, California | United States | about 2 months ago
offering a well-rounded, up-to-date curriculum that provides an optimal balance between theory and practice and prepares you for the challenges of being the innovators and leaders of the field. Required
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California State University, San Bernardino | San Bernardino, California | United States | about 1 month ago
machine learning systems. Information Freshness in Wireless Networks – analyzing and optimizing timeliness of information delivery, latency, and age-of-information metrics in networked systems. This role is
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on heterogeneous processor types Optimized GPU computing and exploitation of GPU architectures for HPEC (tensors, multi-GPU instantiations, advances in GPU for AI/ML) Compute-focused optimization of System-on-Chip
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such as system usability, improved patient outcomes, and workflow optimization. Preference will be given to candidates who have completed a clinical informatics fellowship or similar advanced degree
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, characterization, model extraction and apply device model in the circuit design; Circuit design optimization; Using Cadence for circuit design and ADS for RF circuit design; Circuit implementation and
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biology, bioinformatics, mathematics, physics, engineering, computer science, or a related field. Computational background in areas such as AI/deep learning, multiscale modeling, optimization, topological
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: • An excellent academic record, including
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning