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Research Project: This fellowship provides a master-level trainee an immersive practice-focused experience in population-based cancer prevention and control, combining applied learning with mentorship
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learning methods for process automation within SharePoint and Microsoft enterprise platforms. Under the guidance of a mentor, the participant will explore research approaches related to large language model
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, Fitness & Nutrition. Develop skills in reviewing and collaborating on projects focused on disease prevention and health promotion. Learn about program development and implementation through participation in
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MMA’s program and regional offices, exposing you to a variety of perspectives and issues. Learning Objectives: Under the guidance a mentor, you may gain skills and experience in the following areas: Gain
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. In this fellowship, you will apply molecular tools to survey, monitor, and detect White Spot Syndrome Virus (WSSV) across shrimp and crawfish aquaculture systems. Learning under the guidance of a
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novel and uncharacterized pathogens, confirming and characterizing novel agents, evaluating candidate biocontrol compounds, and assessing pathogen impacts on colony health indicators. Learning Objectives
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of the salmon feed. Determining the protein and lipid content, and fatty acid and amino acid profiles of potential ingredients is an important component for evaluation. This experience will enable you to learn
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to inform public health messaging across the lifespan. The learning experience may include participation in qualitative and quantitative research activities related to knowledge, attitudes, practices, and
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mentorship, you will engage in experiential learning across germplasm evaluation and data collection aligned to disease-resistance objectives. Learning Objectives: Under the guidance of a mentor, you will have
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the United States. These research activities contribute to CDC's efforts to better understand the burden of CKD and inform public health strategies to improve prevention and outcomes. Learning Objectives: You will