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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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analytics solutions to support the ATP mission in ensuring the efficient operation of ambulatory clinics to enhance financial viability, optimize performance, and foster informed, data-driven decision-making
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Summary We are developing cutting-edge analysis methods in the areas of multi-omics data integration, pathway analysis, subtype discovery, clinical trial optimization, and meta-analysis. Our group
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Grow your career at Cedars-Sinai! The Enterprise Information Services (EIS) team at Cedars-Sinai understands that true clinical transformation and the optimization of a clinical information systems
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technical projects, ensuring operational efficiency through continuous process improvement and strategic workflow optimization. In this role, you manage several project frameworks, streamlining methodologies
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optimize healthcare specific paid media campaigns across Google Ads, Meta Ads (Facebook/Instagram), and other performance marketing platforms. The ideal candidate will have 3+ years of experience with a Mar
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optimize healthcare specific paid media campaigns across Google Ads, Meta Ads (Facebook/Instagram), and other performance marketing platforms. The ideal candidate will have 3+ years of experience with a Mar
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RAP opportunity at National Institute of Standards and Technology NIST Designing Liquid Scintillators for Optimal Light Yield, Pulse Shape Discrimination, and Neutron Sensitivity
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requirements (HIPAA/FERPA), and Student Health goals. This role oversees the configuration, optimization, and support of the Point and Click (PnC) Electronic Medical Record (EMR) system, while leading a small
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performs research at the interface of tissue, tumor, and vaccine immunology. Our overarching goal is to identify processes that optimize immune responses for application to the design of novel cancer