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Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
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academic research lab environment -Software programming for scientific simulations -Interdisciplinary and multi-physics relevant strong background -Design of computational algorithms for 1st /2nd order time
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meetings), and regularly attend local seminars and journal clubs. Grant Proposal Planning (5%): You will assist in planning and drafting extramural research proposals, working closely with your direct
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population genetic analyses of genome-wide SNP data, integrating results with geographic origin, key morphological traits, SWD infestation levels, and seed viability (see an example from our team’s research
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or outside the University of Minnesota. The research will focus on applying, developing and implementing novel statistical and computational methods for integrative data analysis, causal inference, and machine