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extreme weather forecasting, employing data science models as developed in computer vision and natural language processing (NLP). This project leverages the large-scale high-performance computing (HPC
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machine learning tools, to study how genes are switched on and off and how they interact — and fit these models to single-cell data to test how well they explain what's actually observed. ● Co-author
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state modeling, and machine-learning methods to characterize the conformational dynamics and activation mechanisms of signaling proteins and other therapeutic targets, and to translate these mechanistic
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evolution. ● Experience with population genetics. ● Experience developing R packages. ● Experience applying or developing machine learning tools. ● Strong scientific writing skills. Brief
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design/modeling/integration, and active filtering. ● Converter control/modeling, including and not limited to high-speed motor drive and grid-tied converters. ● High voltage engineering and
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design/modeling/integration, and active filtering. ● Converter control/modeling, including and not limited to high-speed motor drive and grid-tied converters. ● High voltage engineering and