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maintain statistical / machine-learning pipelines (Python / R; Snakemake/Nextflow) for long-read transcriptome assembly, sQTL fine-mapping (SuSiE, Leafcutter) and proteogenomic isoform detection
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design. Teach a course in virtual and augmented reality with applications to civil and environmental engineering. Incorporate real-world scenarios into the course, allowing students to use state-of-the-art
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Technology and expand Center-related research lines in: · Use of machine learning methods for risk prediction, control, classification, and treatment progression · Metabolic and behavioral computer simulations
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therapies in small animal models of cardiovascular disease. A focused ultrasound experience adds strength to the application. This position represents an opportunity to advance knowledge, learn practical lab