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from water samples compared to tissue samples for early detection of disease. Another is to perform “what if” scenario modelling to compare suitability for different sampling protocols in farms in non
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
development for use in in vivo systems. As a part of the Eshelman School of Pharmacy we are committed to advancing medicine for life and developing leaders in pharmaceutical sciences who make a difference in
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well as experience working with animal models and/or cellular assays, and you are looking for an opportunity to put your skills into practise, you have it right here. The Research Group for Food Allergy at the DTU
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, enrichment culturing, and synthetic microbial experiments. We work across a variety of microbial environmental and lab model systems and topics, including 1) microbial eukaryotes in geothermal springs, 2) soil
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. Co-found spin-out company in 2027. Because of the ambitious nature of the project and project teams, we are looking for a top student with great ambitions to make a difference through cutting-edge
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models, human tissue and blood samples. Use biochemical, cellular, molecular, and pharmacological approaches to for mechanistic studies. Use cutting-edge technologies for transcriptomic, proteomic, and
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. This project explores converting temperature differences in buildings into electricity using flexible TEG generators, potentially generating 10-20 W per square meter. Our project addresses challenges in
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, Skills, and Abilities: Background in Salmonella pathogenesis and molecular genetic and biochemical methods. Experience with in vitro and infection models Responsibilities Research: Performing basic
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Research Project TransEuroWorkS: Transforming European Work and Social Protection - A New Proactive Welfare State Fit for the Future World of Work A consortium of 10 European universities and other research
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Interdisciplinary Training in Mathematics for Human Health,” supported by the National Science Foundation. RTG themes include modeling in cancer biology, computational neuroscience, and mathematical epidemiology