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valuable. Experience with population-level modeling approaches, including hierarchical or Bayesian modeling frameworks. Experience conducting research in Southeast Asia or comparable tropical field contexts
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valuable. Experience with population-level modeling approaches, including hierarchical or Bayesian modeling frameworks. Experience conducting research in Southeast Asia or comparable tropical field contexts
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health databases, and farmland markets; developing and implementing quantitative models to estimate the impacts of soil health practices on soil health outcomes, productivity, risk and farmland values
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; developing and implementing quantitative models to estimate the impacts of soil health practices on soil health outcomes, productivity, risk and farmland values. The Postdoctoral Associate will lead the
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multicultural research teams. We strongly encourage applications from computer scientists with substantial experience in deep learning and related methods, even if they do not have prior formal training in
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/socioeconomic data) • Co-designing tools and analyses with municipal and MPO clients, including: o scenario modeling o project prioritization o equity assessments o emissions and health impact estimation
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will use available and new data collected with active acoustics (sonar) in the Laurentian Great Lakes. Hydroacoustics is used worldwide in both marine and freshwater environments to estimate distribution
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publication list and date of Ph.D. graduation, and listing the Ph.D. advisor’s name. If not yet graduated, please note the estimated date for graduation. Font size should be no smaller than 11pt. Names of 2-3
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, particularly of non-model organisms Computer programming and experience with the solution of numerical problems, machine vision, and analysis of next-generation sequencing data High-throughput screening
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effectively within interdisciplinary and multicultural research teams. We strongly encourage applications from computer scientists with substantial experience in deep learning and related methods, even if