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, pharmacoepidemiology methods development). Through this fellowship, you will have opportunities to learn: Understanding of pharmacovigilance workflows; GenAI based algorithm and agent development for causality
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manufacturing methods focusing on mechanical response and performance extremes, including active, adaptive, and flexible/soft materials; novel manufacturing science for energetic materials. Questions about this
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manufacturing methods focusing on mechanical response and performance extremes, including active, adaptive, and flexible/soft materials; novel manufacturing science for energetic materials. Questions about this
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the guidance of a mentor, this opportunity will involve: developing and applying methods in computational biology and artificial intelligence to gather information about gene function in the legume family; using
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insecticides using nano- or microparticles, Evaluate active ingredients, and; Develop novel methods that incorporate existing and new products to create new tools for an integrated pest management plan
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review. You will receive training in advanced statistical methods for safety signal detection, machine learning applications in pharmacovigilance, and evidence synthesis techniques. You will collaborate
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interests with areas of research need to OSE (e.g., drug safety, substance use disorders, pharmacovigilance, pharmacoepidemiology methods development). You will have learning opportunities that include
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research within the National Gas Hydrate Research and Development Program to obtain pertinent, high-quality information on natural gas hydrates systems that will benefit the development of models and methods
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research within the National Gas Hydrate Research and Development Program to obtain pertinent, high-quality information on natural gas hydrates systems that will benefit the development of models and methods
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analysis experience and scientific writing ability Experience with systematic or scoping reviews (or other structured knowledge-synthesis methods) Experience in R or Stata Knowledge of experimental and