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designed to inform BLM field office staff planning vegetation treatments in specific locations, so the analysis will be structured at sufficiently high resolution to provide the necessary site-specific
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pests and pathogens. Research Project: The participant will collaborate with veterinary medical officers, statisticians, economists, and ecologists specializing in epidemiology, risk analysis, disease
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approaches for processing biomechanical data collected using wearables from patients with limb amputations See an early-stage project from initiation to analysis to knowledge product generation in a short
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, programming, and analysis tools (e.g., Tableau, MS Excel, SAS, and R/R Studio). Experience with developing basic data collection tools, data dictionaries and minimum data elements preferred. Excellent
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manuscripts, data analysis Gain knowledge and experience with advanced cell culturing skills, molecular techniques (e.g. qPCR, ELISA, confocal microscopy, multi-omic platforms) Study advanced physiological
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design and DNA sequencing and analysis Excellent organizational skills, ability to multitask, collaborate and work in a team Proficiency in technical writing, oral communication, interpersonal and
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are not limited to: Learning pre-analytical, analytical, and post-analytical aspects of interpreting complex human biological material for specialized molecular genetic analysis. Gaining experience in all
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science. Practical experience in Python programming and database management. Exposure to cloud computing environments and API integration. Development of skills in machine learning and data analysis
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for achieving resiliency. This fellow will also engage on our project to develop and outreach tools for the Tribal Soil Climate and Analysis Network (TSCAN)”. In 2017, the USDA Northeast Climate Hub worked with