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technology; fostering associated expertise; and enhancing interdisciplinary collaborations. Leading-edge platforms including High Performance Computing, computational and cutting-edge data analytics methods
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experimental protocols and numerical models, encompassing steady-state analyses and advanced techniques such as Laplace and Fourier transforms. Furthermore, inverse modeling methods were implemented to estimate
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storage, research data management and training services Providing or arranging training for researchers in specialized areas of Advanced Research Computing, e.g. Big Data processing, parallel programming
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through computational methods, including data analysis, theory, modeling and simulation. Directed by Dr. Leslie Greengard, the mission at the Flatiron Institute's Center for Computational Mathematics is to
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, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped
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relating to research developments in computer science, and technological applications of computing. Core topics include – but are not limited to – fundamental computer science, numerical methods, computing
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and a balance of personal and professional values. In addition to a vibrant and highly competitive residency program with 25 positions, we offer 9 fellowships and participate in numerous graduate
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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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include double blind, randomized, placebo, controlled-trials, crossover and parallel trials, observational trials, case-cohort trials, longitudinal and cross-sectional trials and community-based
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offer 9 fellowships and participate in numerous graduate school and the MD/PhD program of the School of Medicine. Why work for the University? We have AMAZING benefits and offer exceptional amounts