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Postdoctoral Fellowship: Statistical Modeling of Harmful Algal Blooms


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Academic Level:
Postdoc & Early Career

Description:
A postdoctoral fellowship is available for a highly qualified individual to join the Cooperative Institute for Great Lakes Research. The successful candidate will work with the harmful algal bloom (HAB) team at the NOAA Great Lakes Environmental Research Laboratory (GLERL) to improve our ability to predict algal bloom development and impact on human health in the Great Lakes. In particular, the candidate will develop new statistical modeling approaches emphasizing the probabilistic aspects of algal growth and toxicity, and incorporate approaches for rigorous model skill assessment and uncertainty analysis. In addition to statistical model development, the candidate will assist with field planning, experimental design, data analysis, and the development and transition of research products to application. Postdocs will be expected to maintain strong records of scholarly publication, as records of presentation at scientific conferences and public meetings.

Required Qualifications: A Ph.D. in ecology or environmental science, Strong background in statistical modeling, Familiarity with data analysis and visualization in a scripting environment using R, Python, or similar software, statistical modeling approaches (Bayesian networks, causal analysis, hierarchical models, random forests, model averaging), Experience with water quality modeling and nutrient load estimation, Demonstrated ability to analyze data, quantify uncertainty, and publish results in a timely manner.

For more information and to apply, please visit our website!


Application Deadline: 4/7/2022
Note: Most programs maintain a similar program cycle (including similar application deadlines) year after year. Click here to understand dates and deadlines on PathwaysToScience.org.

Participating Institution(s):
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University of Michigan (Lead)

Program Materials:
 • Postdoc Website this link takes you to a different website

This Program can be Described by:
Academic Disciplines:
Applied Mathematics
Aquatic & Fisheries Sciences
Ecology & Evolution
Environmental Sciences
Marine Sciences & Oceanography
Natural Resources
Statistics

Keywords:
Algae Blooms
Applied Statistics
Aquatic Ecology
Bayesian Methods
Computational Ecology
Data Analysis
Statistical Modelling

Learn More and Apply!

This program is funded by:
National Oceanic and Atmospheric Administration (NOAA)


Page last updated 3/23/2022
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