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in agricultural soil microbiology. The participant will also have active exposure to statistical data analytics using R, Python, and current bioinformatic software. The participant will gain or enhance
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have been received within the past five years. Preferred skills: Experience with ecological modeling, spatial analysis and statistics, ArcGIS Pro software, Python and R coding. Stipend $60,000.00
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office or agency. Qualifications To be eligible, applicants must be a full-time regular permanent faculty member at an accredited college/university with a research interest in NETL core R&D areas
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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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writing and econometric skills, as well as increase proficiency using statistical software (such as STATA or R). The mentor will encourage dissemination of results among managers and research groups. Mentor
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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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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