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simulation modeling, differential equations, and numerical methods Training and hands-on experience in infectious disease transmission modeling (e.g., SEIR-family, branching processes, renewal processes
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gain valuable knowledge and skills in training machine learning models and applying Natural Language Processing (NLP) techniques such as Topic Modeling and Named Entity Recognition. Additionally, you
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scalable modeling framework. The primary focus of this appointment is to provide hands-on training in data synthesis, uncertainty evaluation, and predictive modeling while contributing to foundational
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of historical Galileo data, preparation for Europa Clipper measurements, and development of theoretical and numerical models. Potential research projects include reanalysis of Galileo data such as radio tracking
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were previously analyzed at NASA GSFC and can be further investigated for specific geophysical questions, with updated and improved modeling. These include: MESSENGER; Magellan; GRAIL, Lunar
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protein expression and purification, biochemical screening assay development, computational structural modeling, cell-based antiviral validation studies, and exposure to preclinical small-animal research
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predictive modeling, to identify distinct phenotypes of diabetes and characterize factors associated with disease onset, progression, complications, and mortality. Gain experience analyzing administrative
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; Learn advanced watershed modeling approaches used to study hydrological and biogeochemical processes in agricultural systems. Gain training in improving numerical representations of key hydrological
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: The appointment is full-time. Participant Stipend: Stipend rates may vary based on numerous factors, including opportunity, location, education, and experience. If you are interviewed, you can inquire about the
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strengthen skills in interpreting simulation results, understanding numerical modeling workflows, and gaining familiarity with modern high-performance computing environments. The experience also provides