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Organization DEVCOM Army Research Laboratory Reference Code ARL-R-CISD-1177647728 Description About the Research Research opportunities are available in networking and decision support technologies
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approaches. Experience in programming in R, using GitHub, and doing Bayesian statistical analyses with the use of MCMC samplers such as JAGS, STAN, or NIMBLE. Point of Contact Justina Eligibility Requirements
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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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. gain knowledge of important research networks such as the Long-Term Agroecosystem Research (LTAR) Network that has a vision to develop national strategies for the sustainable intensification
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applications which enable future Army capabilities in assured Networking, assured Position Navigation and Timing, and chemical and biological sensing. Opportunities also include assisting in designing and
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to power systems modeling and physics-informed neural networks. This research requires hands-on knowledge in science and engineering across a range of data analytics topics, as well as the ability
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to power systems modeling and physics-informed neural networks. This research requires hands-on knowledge in science and engineering across a range of data analytics topics, as well as the ability
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. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: Learn to communicate data and findings from a surveillance network to decision-makers
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their field of study Engage with new areas of basic and applied research Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment Contribute to answers
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portfolio provides participants the chance to develop new research skills and build professional networks. Most, but not all, of this research is conducted in either BSL-3 or BSL-4 high containment