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education and/or experience in one or more of the following: Experience with mathematical and computer modeling & simulation, mechanics, multi-physics numerical simulations, sensor technologies Experience
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Island. This learning opportunity will include synthesizing information on various mitigation methods (e.g., shaded fuel breaks, fuel reduction treatments, post-fire restoration), developing cost scenarios
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of the agency is to provide global leadership in agricultural discoveries through scientific excellence. Research Project: You will have the opportunity to contribute to collaborative research between the Methods
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reproducibility in mediation analyses (JAMA 2021;326(11):1045–1056; https://jamanetwork.com/journals/jama/fullarticle/2784353 )—as the methodological foundation. You will help analyze a sample of published
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, program rules, and availability of the participant. What are the provisions? You will receive a stipend to be determined by AFRL. Stipends are typically based on a participant’s academic standing
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, California, conducts research to enhance food safety and biosecurity by developing new methods for analysis of toxins and bacteria in foods, and safe and effective compounds and management strategies targeting
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, or unsupervised learning methods. Proficiency in Python and familiarity with scientific computing libraries such as PyTorch, TensorFlow, Pandas, NumPy, and related ML frameworks. Experience with large datasets
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bioinformatics tools, pipelines, and statistical methods for the analysis of large-scale genomic and transcriptomic datasets ('big data'), with hands-on experience in high-performance computing (HPC) environments
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, substance use disorders, pharmacovigilance, pharmacoepidemiology methods development). As an OSE-trained fellow, at the conclusion of this appointment, you will gain skills to help advance your STEM career
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the production, value, and safety of pecan, peach, nectarine, and plum crops. The postdoctoral fellow will help in implementing experiments to develop novel methods of controlling economically important pests