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the one of the relevant fields. Preferred skills: Experience in forest operations analysis, forest resource management, spatial data science, supply chain/logistics analytics, machine learning Analytical
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. Learning Objectives: The Fellow will learn how wildland fire managers use weather and fuel data to plan and conduct prescribed burns. The Fellow will gain understanding of the range of meteorological data
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to protect American agriculture. Learning Objectives: Under the guidance of a mentor, the fellow will learn techniques related to chemistry, molecular biology, and microscopy during the development phase and
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instrumentation and test systems. You will learn how to prepare test samples, participate in test events, analyze data and prepare reports. You will gain understanding of good laboratory practices, develop
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ecosystem services that they provide. Learning Objectives: The participant will learn to utilize ecological simulation models and to design and conduct geospatial analysis of model results to characterize
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are offered an opportunity for an independent research project using lab data to gain experience conducting ecological data analysis, manuscript writing, and publishing in peer-reviewed journals. Learning
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science and technology to reduce risks and costs within the EM regulatory framework. The Scholar will participate in learning and development opportunities, be actively mentored by EM staff, as
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culture of teamwork, as such you will learn how to be a member of a laboratory team and how teams of researchers accomplish common research goals. Why should I apply? Under the guidance of a mentor and
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documenting progress on data processing. Opportunities may also be available to participate in field data collection at various locations in the Pacific Northwest. Learning Objectives: As an educational
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of their research relate to transmission dynamics of VSV and integrated pest management strategies. Learning Objectives: The fellow will have the opportunity to gain experience in entomological and aquatic field