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Bayesian inference, data assimilation, inverse modeling, and/or probabilistic machine learning to geoscientific or ecological models is highly desirable. Experience in high performance computing and handling
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research position under the supervision of Dr. Chris Smith Home | Chris Smith . The lab— in the Evolution, Ecology, and Behavior section—investigates machine learning approaches for spatial population
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understanding of computational algorithms and statistical modeling and a working knowledge in molecular biology, microbiology, and microbial ecology • possess a working knowledge on genomic sciences and
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Posting Summary Logo Posting Number RTF00026PO20 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/8219 Business Title Postdoctoral Fellow Campus Columbia