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. Pay Range: 75,000-77,000K 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
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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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experience. Research background in decision making systems, in particular the use of different optimization, machine learning, and decision making modeling techniques for problem solving. Desire to grow
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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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experience in simulation and/or optimization method Research experience in water resources management or a related discipline Demonstrates excellent written and verbal communication skills Is committed
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studies.The successful candidate will work on cutting-edge research involving viral and their invitro and invivo interactions . The primary focus will be on optimizing viral vector systems, understanding
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or peptides into drugs to treat acute leukemia. Assays to assess toxicity, metabolism, optimization, and mechanism of action of compounds will be performed. This position is for postdoctoral fellows who have