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Post-Doctoral Associate
Job Description
Full job description
Ph.D., DDS, DVM, JD, MD or equivalent is required.
It is essential to have prior experience with tropical root data, data extraction from papers in the literature, experience mentoring undergraduates, a firm grasp of the R programming language, and knowledge of the FATES model.
This position involves performing a meta-analysis and data extraction of literature related to tropical root stocks, traits, and dynamics. The postdoc will supervise a team of undergraduate students to extract the data, and then perform quality checks and data curation (25% of time). The data will be deposited in the FRED database (25% of time). The postdoc will write one paper that analyses the data, using structural equation modeling and meta-analytical techniques (35% of time). The postdoc will be a liason with the Lawrence Berkeley National Lab and work with them to update tropical root representation in the FATES model (10% of time). The postdoc will be required to attend PI meetings (5% of time).
The Powers lab is interested in how land-use changes like secondary forest regeneration and climate change like increased frequency of drought affect seasonally dry tropical forest. We use a variety of tools including long-term observations, large-scale experiments, and meta-analysis and we collaborate with simulation modelers.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America’s Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022)
It is essential to have prior experience with tropical root data, data extraction from papers in the literature, experience mentoring undergraduates, a firm grasp of the R programming language, and knowledge of the FATES model.
This position involves performing a meta-analysis and data extraction of literature related to tropical root stocks, traits, and dynamics. The postdoc will supervise a team of undergraduate students to extract the data, and then perform quality checks and data curation (25% of time). The data will be deposited in the FRED database (25% of time). The postdoc will write one paper that analyses the data, using structural equation modeling and meta-analytical techniques (35% of time). The postdoc will be a liason with the Lawrence Berkeley National Lab and work with them to update tropical root representation in the FATES model (10% of time). The postdoc will be required to attend PI meetings (5% of time).
The Powers lab is interested in how land-use changes like secondary forest regeneration and climate change like increased frequency of drought affect seasonally dry tropical forest. We use a variety of tools including long-term observations, large-scale experiments, and meta-analysis and we collaborate with simulation modelers.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America’s Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022)
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