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software engineering, human factors usability, and design/visualization in developing applications to optimize combat casualty care. These projects include augmented/mixed reality systems, headset/sensor
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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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on autonomous multi agent technologies for preharvest safety inspection of produce fields. You will receive hands on experience in image acquisition, image analysis, AI model development, and data interpretation
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focuses on AI-based screening and statistical analysis research of pathogen-host protein interactions to explore key host proteins involved in arbovirus replication within arthropod vectors. Participants
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financial and environmental costs and benefits of these practices. We will utilize data collected in a large-scale experiment on commercial farms near Clarksdale, MS to conduct a systems-level analysis of
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will learn and participate in the collection, analysis, and interpretation of experimental data relevant to tissue repair, immune modulation, and functional recovery after injury. This project connects
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responses to environmental disturbances. Fellows will practice a variety of data collection, monitoring, and analysis techniques by collaborating on the following research track: Post-Fire Hydrology and
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gases). Programing, independent analysis, writing, organizational and people skills are all considered favorable. Machine learning experience would be a plus. Point of Contact Mikeala Eligibility
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, integrating laboratory specificity testing with advanced genomic analysis to elucidate the genetic architecture governing host association and adaptation. Investigate post-introduction adaptation of biocontrol
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, screening of biofilm formation, pathogen protection in biofilm, metagenomic shotgun sequencing and analysis, evaluation of decontamination/sanitation strategies in the cattle farm environment and statistical