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(45%) • Support statistical analyses of large data sets from an epidemiological cohort, investigating associations with birth outcomes using both targeted and nontargeted data (25%) • Support
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) infrastructure of New York State’s Empire AI enabling us to train large AI models that will outperform traditional numerical prediction models. Duties: ● Design, train, and evaluate novel AI/ML models. Develop
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help reduce uncertainties in climate forecasts and better assess the effects of aerosols on atmospheric systems. The postdoctoral researcher's mission will be to develop and improve the WRF-Chem model
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simulations is desirable. An ideal candidate should have a solid background in physics and chemistry, particularly in the area of statistical mechanics with excellent verbal and written communication skills
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currently are all working on other NIH funded projects. Education Requirements: A PhD or MD degree in relevant field. BACKGROUND CHECKS/CLEARANCES Employment with the University will require successful
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, Bioengineering, or a closely related quantitative field in hand by the start of the appointment. ● Strong background in one or more of: stochastic processes, probability theory, dynamical systems, statistical
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diseases. Maintain mouse colonies. Perform flow cytometry, cell sorting, cell culture, and microscopy. Analyze research data and statistics. Laboratory record keeping and general laboratory activities
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to support multimessenger astrophysics. They will also develop new methods and contribute to the ever-growing catalog of LIGO discoveries. The ideal candidate is expected to develop infrastructure to support
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Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we probe and the answers
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the PI with mentoring undergraduate researchers and participate in the project's education and outreach activities. This is a full-time, 24-month postdoctoral appointment funded by a National Science