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models with massive amounts of real-world data to transform geophysicists' ability to solve the most difficult subsurface challenges. Two grand challenges targeted by the project are: 1) developing and
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. We are looking for a team player with the motivation and drive needed for making a difference that matters. As you will join an international team good command of written and spoken English is
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-driven analysis and modeling. These are interdisciplinary positions that combine environmental engineering, materials science, and sustainability assessment. We are looking for motivated and forward
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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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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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. 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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of national research infrastructures Evaluating the evolution of Generative AI performance over time and across tasks Analyzing international AI models and their representations of the U.S. in global discourse