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AI models. Successful candidates will be involved in all aspects of the scientific process from experimental design, data acquisition and analysis, and presentation and publication of results. Advisor
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wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk
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within the past three years. Preferred skills: Soil sampling methods Stable isotope mass spectrometry Elemental analyzers Carbon fractionation methodology Collecting and analyzing soil gas samples Nitrogen
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and/or extracts, bioinformatic analysis to identify putative functions in bacteria and yeasts, and texture measurements on vegetable tissue. The candidate will participate in data collection and
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) Knowledge and experience in deposition techniques such as wet chemistry deposition, PVD, and CVD. Development and application for thin films of metal oxides, polymers and organic / inorganic hybrid materials
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for analysis and interpretation. Learning Objectives: Gain expertise and research skills in setting up field, greenhouse, and growth chamber experiments involving staple crops in the MS Delta. Gain skills in
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: The candidate will learn how to apply soil chemical and physical analysis to biochar, learn how to implement algorithms for decision support tools, develop databases, and use amplicon data to extract information
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to senior leaders. There will be three key project objectives during the course of this research project: Identify population needs through surveys, focus groups, or data analysis Community outreach to inform
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USDA-ARS Postdoctoral Research Opportunity: Development of Novel Vaccines for Poultry Viral Diseases
animals, execution of viral genome detection, and data analysis. Learning Objectives: During the fellowship, the participant will acquire the following skills and knowledge through hands-on training
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of the forest resource, thereby sustaining forests, the economy, and quality of life.” The aims of the Statistics, Life Cycle Analysis and Economics Research Work Unit at FPL are to: 1) provide integrated