19 big-data-and-machine-learning-phd Postdoctoral positions at University of California
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-reviewed venues and conferences. Engage in community knowledge-sharing (e.g. tutorials for the NERSC user base). What is Required: PhD awarded within the last five years in Physics, Computational Chemistry
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, environmental science, conservation science and planning or a related field at the time of application. Additional qualifications (required at time of start) PhD in ecology, oceanography, geography, environmental
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of electron microscope operation and related techniques. Experience with data analysis and interpretation. Proven track record of publications in peer-reviewed scientific journals. Demonstrated experience
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). Curriculum Vitae (CV). Names and contact information for three references. PDFs of 2 top publications (in prep is OK). Additional information: Application date: Priority consideration will be given
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for a PhD Degree in Oceanography / Marine Science / Environmental Fluid Mechanics, or a related discipline except the dissertation at the time of application Additional qualifications (required at time of
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areas, which will deliver over 10x the performance of Perlmutter and connect directly to DOE experimental and observational facilities. You will help 12,000+ science users run complex, data-intensive
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VAPs teach no more than three quarter classes per year, and will receive research support for conference travel and other needs. Strong promise in research and teaching is required. Appointments will be
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, work independently, learn new skills, and contribute positively to departmental culture. The department is especially interested in candidates who can contribute to the diversity and excellence
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teaching. Additional information about the Department may be found at http://www.math.ucdavis.edu . Applications will be accepted until the position is filled. To guarantee full consideration