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education and/or experience in one or more of the following: Experience with FPGAs, Microelectronics, Machine Learning, and/or Software Development using languages like C/C++, Java, and Python Application
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sales on National Forests. Learning Objectives: Learning experience benefits for the selected scholar include: Extend experience with quantitative methods, including statistical, machine learning, text
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of collecting health hazard exposure data. Your experience will include participation in the documenting of health hazard related historical knowledge, lessons learned, processes, procedures, SOPs, protocols
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of the project is to provide a timely update and modifications of this model, as new science and methods have evolved since its development. Learning Objectives: The selected fellow in this project will have the
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. Qualifications The ideal candidate should have a strong background in the mathematical and computational aspects of modeling subsurface and surface flows. Knowledge in machine learning, data assimilation, and
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to complement your education and support your academic and professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: Learning current
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content for a variety of online and social media platforms Learn technical aspects of photo and video production/editing and web/social media posting Where will I be located? Vicenza, Italy or Camp Darby
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skills: Demonstrated experience in modeling and applied statistics including machine learning, Bayesian statistics, multivariate statistics, model assisted estimation, rarefaction, or wildland fire
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will learn the process of around preparations for organophosphorus nerve agent hydrolysis assays, as well as other laboratory opportunities when available. Finally, you will be encouraged to present
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, Environmental Sanitation and Hygiene, and Laboratory Services. What will I be doing? Under the guidance of an epidemiologist mentor, you will be involved with and learn how to: Collect, evaluate and provide