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, human factors usability evaluation, and design/visualization to develop applications that optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor evaluations
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will support various projects utilizing software engineering, human factors usability evaluation, and design/visualization to develop applications that optimize combat casualty care. These projects
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of the research project and detail the mentor's plan for supporting and guiding the candidate throughout the research. All documents must be in English or include an official English translation
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veterinary importance. Under the guidance of the mentor(s), the fellow will contribute to the design, implementation, and data analysis of field-based research on new world screwworm and mosquito-borne
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the ability to design, implement, and document Bayesian and machine learning models to predict abundance, prevalence, and disease risk, demonstrating understanding of model selection, assumptions, and
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, data collection, analysis, and QA/QC for existing measurements as well as development of data collection and analysis procedures for a suite of new instruments. You will also gain experience in designing
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of waterbird ecology, population dynamics, and disease processes to inform science-based conservation and management decisions. Learning Objectives: You will develop skills in designing and conducting a
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. Citizen Degree: Doctoral Degree received within the last 48 months or currently pursuing. Discipline(s): Chemistry and Materials Sciences (12 ) Communications and Graphics Design (2 ) Computer
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in the development of diagnostic technologies for viral, bacterial and fungal diseases. Functional knowledge of molecular techniques such as: PCR; real-time PCR; PCR primer/probe design and DNA
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develop cost scenarios. Learn to design mitigation strategies to maximize benefits to infrastructure, ecosystems, and species of concern under different funding levels. Learn to integrate analyses into a