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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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insights into turbulence and use that understanding to propose and implement innovative control strategies. Candidate will disseminate results at conferences and in archival publications and help in
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combining bibliometric data of coauthor publications to analyze networks of coauthors and their geographic locations. Then, the research team will present findings from both interviews and bibliometric
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. Candidates with background in biochemistry, molecular and cell biology are preferred. Our lab investigates the gene regulatory networks in muscle stem cells using cutting-edge high-throughput studies, single
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, along with assistance from our affiliates in building individual networks across campus. They are expected to devote approximately 10 hours per week to Center-related activities: supporting and developing
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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, agriculture-based net emissions technologies, such as uptake and storage by agricultural soils and bioenergy production, are recognized as important components of future emission pathways to limit global
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in bat biology is desired. Strong software skills designing custom neural network and other AI methods is desired. Additional Information: The College of Arts and Sciences is the largest college and
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| Sponsored Research Post Doctoral Scholar to pursue specialized research training and experience under the guidance of a scientific mentor. Responsibilities Conducts research on cancer prevention and control
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run