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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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all the SDLs Expertise that is desired: Polymer synthesis Synthesis and purification of polymers Combinatorial synthesis of sequence-defined polymers such as biopolymers Additional expertise that is
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lab to support all the SDLs This posted position is for a role with SDL4 (Polymers) Expertise that is desired: Polymer synthesis Synthesis and purification of polymers Combinatorial synthesis
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all the SDLs This posted position is for a role with SDL4 (Polymers) Expertise that is desired: Polymer synthesis Synthesis and purification of polymers Combinatorial synthesis of sequence-defined
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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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Machine Learning for High Throughput Materials Discovery and Optimization Applications NIST only participates in the February and August reviews. We are developing machine learning algorithms
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Machine Learning-driven Autonomous Systems for Materials Discovery and Optimization NIST only participates in the February and August reviews. We are developing machine learning-driven autonomous
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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