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subseasonal precipitation forecasts. The postdoc will be working to develop a real-time forecasting tool to improve U.S. Week 3-4 precipitation forecasts with innovative data science methods to provide
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in the area of informatics and health data science research using translational, population health, and health equity methods and practices. Establish and foster meaningful mentors-mentee partnerships
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. Department Specific Qualifications Ability to lead MS based projects with minimal oversight. Proficient in basic statistical methods and design of MSI / LC-MS experiments and techniques. 3+ years of relevant
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intrinsic motivation and strong scientific curiosity • Ability to be inventive and to present novel ideas in method development and application, data analysis and interpretation • Team
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) analyze model output from these ROMS simulations, as well as from Community Earth System Model (CESM) simulations and observational datasets; (iii) apply advanced analytical methods and theoretical
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methods. Bioinformatic Analysis (Advanced): Proficiency in large-scale omics data analysis and relevant bioinformatics tools alongside integrative multi-omics pipelines. Programming (Expert): Extensive R
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complex data sets generated from experiments, often using bioinformatics tools and statistical methods to interpret results and draw meaningful conclusions. Publication and Dissemination: Writing and
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Application in CFD/FEA: Develop and apply AI and machine learning methods to derive more generalized and predictive models from existing CFD and FEA results. The goal is to enhance the understanding of stenting
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) and treatment as prevention (TasP) in populations who need it most. Training will also emphasize on: innovative state-of-the-science statistical and design methods, c.) community engagement through
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, molecular oncology, drug development, and clinical trials. Department Specific Qualifications Ability to lead MS based projects with minimal oversight. Proficient in basic statistical methods and design of