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research optimizing advanced water treatment processes (e.g., reverse osmosis) to reduce costs and emissions while providing safe resilient supply. They should have documented experience with a variety of
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School of Medicine. The project will focus on optimization of peptide ligands targeting promising cancer antigens followed by subsequent radiolabeling and pre-clinical validation. The Beinat lab employs
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-driven solutions providing fairer access to public educational resources. The lab enables school districts to optimize large-scale equitable resource allocation decisions, including how to zone schools
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strategic trajectory toward integrating proton-based FLASH capabilities. The successful candidate will play a key role in the delivery, optimization, and evaluation of FLASH RT, working closely with a
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including the integration of large-scale human genome-wide association (GWAS) with bulk and single-cell (e.g. scRNA-seq and scATAC-seq) sequencing, optimization of in-vitro and in-vivo exposure protocols, and
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)parameter optimization through cross-validation. Observational research methods including interpreting multivariate regression, missing data imputation, propensity score matching, and bootstrap simulations
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Affairs. The FY25 minimum is $73,800. Integrating Natural and Cultural Data: Focus Area, Indian Ocean Data gathering, assessment, and modeling across disciplinary divides offers an optimal approach
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modeling tools to support outbreak response, optimal vaccine strategies, and understanding key epidemiologic questions. This NIH-funded project is conducted in collaboration with the California Department
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decision making systems, in particular the use of different optimization, machine learning, and decision making modeling techniques for problem solving. Desire to grow collaborative research and mentorship
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-77,000K The Stanford Mineral-X (link is external) seeks a highly motivated and skilled postdoctoral scholar to join our research project on optimization of critical minerals separation. The successful