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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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, 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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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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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
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fermentation, food processing, and process engineering to design and improve processes that improve food ingredient functionality and create unique flavor profiles and remove the off flavors. Learning Objectives
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bioinformatics analysis. Learning Objectives: You will receive training in handling various viruses and gain experience in different sample processing procedures to extract nucleic acids for NGS and learning
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. Learning Objectives: Under the guidance of a mentor, you will engage in learning research focused on understanding antibody responses to conserved and variable epitopes in rapidly evolving RNA viruses, with
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sensing and decision-making in poultry processing environments. Learning Objectives: Under the guidance of a mentor, the participant will gain knowledge and experience in: Applying hyperspectral imaging