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. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Collaborate with team to improve standardization, utility, and public health potential
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and the application of machine learning to advance development efforts of these domestic sources by pinpointing opportunities, informing R&D, catalyzing innovation and maximizing resource value
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Skills: Strong analytical skills and demonstrated experience with statistical programing in R. Experience using geospatial data for landscape-scale research. Experience with Species Distribution Modelling
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of approximately 1.7 million square feet and high-performance computing facilities at the DOD Supercomputing Research Center. What will I be doing? You will engage in real world R&D projects and gain knowledge in
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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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Organization DEVCOM Army Research Laboratory Reference Code ARL-R-MS-400050-F1 Description US DEVCOM Army Research Laboratory seeks proposals for innovative concepts for the distribution and
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of their service lives), statistics, emerging data science tools and techniques A demonstrated ability to use a statistical programming language such as R or Python for non-linear data fitting, and optimization
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Organization DEVCOM Army Research Laboratory Reference Code ARL-R-PEQS-400049-F1 Description About the Army Research Laboratory The U.S. Army Combat Capabilities Development Command Army Research
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Experience with coding in R, or similar software Experience using ecological and geomorphological knowledge to study how climate change affects coastal environments Desire to learn and apply field techniques
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simulation Experience using geospatial data for landscape-scale research Strong analytical skills and demonstrated experience with statistical and other programing or code sharing applications including R