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in agricultural soil microbiology. The participant will also have active exposure to statistical data analytics using R, Python, and current bioinformatic software. The participant will gain or enhance
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modeling, economic evaluation, and surveillance to enhance analytical tools. Activities will focus on gaining hands-on experience and contributing to emergency preparedness and surveillance planning
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Skills: Strong analytical skills and demonstrated experience with statistical programing in R. Experience using geospatial data for landscape-scale research. Experience with Species Distribution Modelling
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are not limited to: Learning pre-analytical, analytical, and post-analytical aspects of interpreting complex human biological material for specialized molecular genetic analysis. Gaining experience in all
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. These include, but are not limited to: Participate in collecting and analyzing data samples Enhance laboratory skills and technical equipment experience Increase analytic thinking/problem solving skills Gain
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understanding the scope of harmful behaviors in a military community Understanding of analytic approaches that can be used to evaluate individual prevention activities and the combined effects of multiple
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including feature engineering Strong analytical and problem-solving skills Ability to work with complex datasets and navigate data complexities Application Requirements A complete application consists of