4 big-data-machine-learning-phd Postdoctoral positions at University of California Davis
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with parallel computing and high-performance computing environments; a working knowledge of FORTRAN; experience working with large NetCDF data sets; experience with Matlab and/or Python; an interest in
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successfully and independently complete the following activities: Search and compile existing spatial datasets (fields, farm limits, land cover, irrigated fields, etc.), including Ag census data Acquire new
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spatial and temporal scales, leveraging cutting-edge hierarchical Bayesian modeling approaches. The Fredston Lab uses large datasets, theoretical models, and a range of statistical tools to predict marine
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as July 1, 2026 but no later than September 1, 2026. PhD must be in hand before to employment can begin. Position duration: Maximum Duration of Service in a Postdoctoral Title: Postdoctoral Scholar