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University Seattle campus. Course topics include High-performance Computing, VLSI Design, Advanced Machine, Learning Combinatorial Optimization and Statistical Inference. Responsibilities include preparation
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hits using in vitro (cell lines, organoids) and in vivo (mouse xenograft/PDX models) systems. They will optimize protocols for NGS library preparation, CRISPR-Cas9 editing, and high-throughput molecular
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Department has 24 full-time faculty committed to excellence in teaching, scholarship, and service. Faculty specialties include applied computational mathematics, number theory, combinatorial matrix theory
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NIST only participates in the February and August reviews. We are developing machine learning algorithms to accelerate the discovery and optimization of advanced materials. These new algorithms form
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internationally leading programs that apply the tools of chemical biology or medicinal chemistry (e.g. structure-based methods for drug discovery, combinatorial chemistry, hit-to-lead optimization, drug development