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areas. These include, but are not limited to: Applying machine learning algorithms to solve real-world problems. Creating and structuring databases for storage, retrieval, and image analysis. Determining
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mycobateria and brucella families in various species of animals using serological tests as part of the eradication program. Learning Objectives: The participant will have the opportunity to learn about zoonotic
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integrating advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques with process-based crop models, this research will empower farmers to optimize conservation practices, increase
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Salmonella detection methodologies. Learning Objectives: The participant will learn about stakeholder-focused research, data science, scientific communication, food safety applications, real-world data, and
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strategies to improve safety and efficacy of T cell therapies. Learning Objectives: The overall learning experiences you will gain are as follows: Will learn to perform laboratory research on projects related
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research under strict biocontainment parameters. Learning Objectives: During the appointment, you will; Develop knowledge of integrative genomic and biological approaches used to detect and manage emerging
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collection will include automated phenotyping measurements, as well as crop development, phenology, photosynthesis, and yield. Learning Objectives: During the appointment, you will; Gaining experience with
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, economic evaluation, and surveillance to learn how to operationalize, and when needed, improve analytical tools. Research activities will support rapid risk assessment, emergency preparedness, and
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. Research Project: Joining a team of landscape and fire ecologists to learn about and support geospatial analysis of fire mitigation implementation in the highly fire prone lands of Kona and Kohala on Hawaii
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the relative importance of processes in simulating the CMRB agroecosystem. Learning Objectives: Under the guidance of the mentor, the participant will: Learn how cropping system design must align with local soil