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Associate selected for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins
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quality data using various sensors and equipment Manage sampling equipment, environmental sensors, harvesting tools, and research software Tabulate, organize, and prepare research data for analysis Create
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for this position will work as a member of an interdisciplinary team led by Dr. Colin Xu on Department of Defense (DoD)-funded research project involving the use of statistical and machine learning methods
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for this position will work as a member of an interdisciplinary team on research involving the use of statistical and machine learning methods for the development of Immune Digital Twins. There will be potential
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working in interdisciplinary research projects and team settings Excellent training in qualitative methods, econometrics, and applied microeconomic theory Familiarity with econometric software, being STATA
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tools Required Education PhD in electrical engineering or related field with a power emphasis with a strong focus on energy-water modeling Required Other None Additional Preferred Experience in publishing