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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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different research directions: Optimization and machine learning with quantum-inspired methods like tensor networks Characterization of the problem graphs resulting from encoding combinatorial optimization
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in screening technologies, assay development, complex cell systems and lab automation. Our projects range from biochemical screens to combinatorial chemical synthesis to sophisticated screening assays
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Minnesota State Colleges and Universities, System Office | Mankato, Minnesota | United States | 3 months ago
machine learning and/or artificial intelligence related math courses, including computational topology and geometry, network analysis, optimization, and scientific computation etc. Strong interest and
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Minnesota State Colleges and Universities, System Office | Mankato, Minnesota | United States | 3 months ago
faculty committed to excellence in teaching, scholarship, and service. Faculty specialties include applied computational mathematics, number theory, combinatorial matrix theory, stochastic differential
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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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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