92 development "https:" "https:" "https:" "University of Houston" Fellowship positions at Zintellect
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(FDA). The project focuses on developing a structured framework to guide statistical reviewers in evaluating mediation analyses at key checkpoints—specifically, the study protocol, statistical analysis
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to cross international boundaries and present a risk to U.S. livestock. The fellow will have the opportunity to contribute to the development of novel insecticides targeting arthropod pests of livestock
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, pharmacovigilance, pharmacoepidemiology methods development). In general you will have opportunities to learn: Understanding of pharmacovigilance workflows; GenAI based algorithm and agent development for causality
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. These efforts cover more than just medicines. Research Project: The aim of this research focuses on integrating FDA’s GenAI tool’s capabilities (through API calls) into the InfoViP platform while developing
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storage physiology, abiotic stress resilience, flavor and nutritional quality; and development of molecular tools, pest management and plant breeding strategies. Research Project: This appointment is
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, engineers, and researchers focused on developing medical clinical decision support systems utilizing extended reality technology. You will participate in various projects utilizing software engineering
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assessment research with a focus on biosensor development. The research fellow will learn and apply techniques in biosensor fabrication and participate in testing and evaluating their performance
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support staff from the Sustainable Agricultural Water Systems ARS-USDA unit (https://www.ars.usda.gov/pacific-west-area/davis-ca/sustainable-agricultural-water-systems-research/ ). Research (90%): Field
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. https://www.ars.usda.gov/pacific-west-area/wapato-wa/temperate-tree-fruit-and-vegetable-research/ Research Project: The selected participant will engage in cutting-edge research focusing on molecular
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degradation that could occur to C-130 crew members from extended exposure to environmental insults. This research will also inform the development of effective human-machine systems and healthy Airmen protocol