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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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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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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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research and are organized into 5 distinct programs at our matrix cancer center: Cancer Control, Leukemia Research, Molecular Biology and Cancer Genetics, Molecular Carcinogenesis and Chemoprevention (MCC
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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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studies how local environments impact the chemical physics of chemical reactions at battery and atmospheric interfaces, the homeostatic control of photosynthesis, and/or next generation quantum devices
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research. The Postdoctoral Scholar – Pharmacometrics in the PhASR will support data collection, quality control of data, data analysis, modeling, simulation and PK/PD study design for human clinical trials
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Center. Responsibilities Include: High through-put analysis and genomic analysis of gene expression Plans, designs, executes, and manages research projects related to the control of development and cancer