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to the ELLIS network. Your work will benefit from interactions with computational, biological, and clinical groups across the institute, alongside opportunities for international collaboration, research
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sustainability problems in their social and economic context. IVM’s research community works within four departments: Environmental Economics; Environmental Geography, Environmental Policy Analysis; and Water and
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 8 hours ago
institution in North Carolina for net cost by the N.Y. Times and No. 1 in North Carolina for social mobility by The Wall Street Journal — helping first-generation and lower-income students find paths
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to define and evaluate AI biomarker models. You should hold a relevant technical PhD/DPhil (or near completion) in medical video analysis or computer vision with a video focus and ideally have prior
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in U.S. ranching social-ecological systems. Expertise in social network analysis. Strong verbal communication skills. Work Location (City, State) Lincoln, NE Pre-Placement Driving Record Review
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, analysis software, and system layout for next-generation neutrinoless double-beta decay experiments. We're here for the same mission, to bring science solutions to the world. Join our team and YOU will play
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. The research is centered on the description, critical analysis, and scientific explanation of phenomena of education. Your subject area will include the education and trainingprocesses in specially
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to develop three-dimensional scaffolds that reproduce the extracellular environment of the intestine in order to improve preclinical models for drug absorption studies, toxicity testing and cell–matrix
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Virtual Research Institute (WIB) - Łukasiewicz Research Network - PORT Polish Center for Technology Development, Co-Financed by the Polish Science Fund, project no. WIB-4/2024-O04, entitled “Personalized