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inference) Algorithmic development for bilevel (or multilevel) optimization Methodological developments in Bayesian statistics and/or decision analysis Application of adversarial risk analysis within security
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and performing data collection and analysis pertaining to pre-clinical research for the development and optimization of drug products, advanced therapies for the treatment of hemorrhagic shock and
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medicines. Research Project: The purpose of this proposed project is to better understand the impact of proteinuria on elimination and PK of biological products to optimize the dose in patients with
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investigate how available nonclinical and early clinical data can be leveraged more effectively to support key drug development decisions — including the characterization of safety profiles and the optimization
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preparation, method optimization, data acquisition, and interpretation of surface and cross-sectional characteristics. Apply AFM-IR/nanoIR and other nanoscale characterization approaches to investigate local
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, texture profile, and other key techno-functional properties. Learning Objectives: Under the guidance of a mentor, the participant will learn to: develop and optimize procedures for extracting plant proteins
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; preparing biological samples for testing; coordinating and optimizing insect behavioral assays Data Management: maintaining meticulous experimental data records, digital database entry, and basic statistical
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support systems, protective clothing, precision airdrop systems, and ballistic, chemical and laser-protection systems, and human performance optimization. About ORISE This program, administered by Oak Ridge
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process of continuous germplasm improvement, discovery trait research and methodology optimization to reach greater breeding efficiency. The general research technologies/methodologies and approaches
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-resistance phenotypes. You will gain experience applying AI, genomics, and bioinformatics, from foundational AI/ML concepts to hands-on application and optimization of DNA and protein language models