6 parallel-computing-numerical-methods Postdoctoral research jobs at University of California Berkeley
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, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual
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number of protein-coding genes. In mammals, the numerous functional non-coding elements greatly expand gene regulatory modality and diversify functional reservoir. Using human genetics/genomics, mouse
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genome-resolved multi-Omics methods, statistical/metabolic modeling, and machine learning. The postdoc will apply these approaches to generate a systems-level understanding of microbiomes including
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chemistry, condensed-matter physics, many-body physics, material science, quantum information science, quantum and precision measurement, and quantum optics. We are seeking a postdoc to carry out experimental
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program Additional qualifications (required at time of start) PhD or equivalent international degree. No more than three years of post-degree research experience. Preferred qualifications A PhD or
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or equivalent international degree or enrolled in a PhD (or equivalent international degree) program. Additional qualifications (required at time of start) PhD or equivalent international degree. No more than two