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or other continuous data sources. Experience with Bayesian statistics. Experience with censored datasets. Experience managing and analyzing large, multi-dimensional datasets. Experience with both spatial and
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to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry. Ability to apply concepts such as fractions, percentages
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intelligence, machine learning, big data and network analysis, computational and Bayesian methods, are encouraged to apply. Minimum Qualifications PhD in Statistics or closely related fields with documented
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