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the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with
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at Michigan Tech. The work will focus on building advanced reservoir simulation models coupled with geomechanics, performing risk assessments using NRAP tools, and contributing to leakage risk quantification
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modeling. Positions may begin as soon as September 2025 . A Ph.D. in Mechanical and Aerospace Engineering, Civil and Environmental Engineering, Atmospheric and Oceanic Sciences, Geosciences, Computational
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environmental trade-offs. Contribute to projects involving capacity expansion, production cost modeling, and equilibrium modeling of power systems. Design and apply mathematical optimization models, including
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
, cultural, recreation and professional opportunities that span the campus and community. Primary Purpose of Organizational Unit The Department of Earth, Marine and Environmental Sciences (EMES) and the
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scarcity and environmental regulations increase, electrochemical separation technologies are gaining significant interest for sustainable seawater desalination. This postdoctoral position is part of a
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. The research involves the development of practical and computationally efficient methods for adapting and fitting models from survival analysis to infectious disease transmission data and other data, including
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Full time, 3-year fixed term, located on the Camperdown Campus at the Faculty of Science Join a cutting-edge ARC Linkage project advancing fish seascape ecology and connectivity modelling to inform
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30 Aug 2025 Job Information Organisation/Company UNIVERSITY OF SYDNEY Research Field Environmental science Geosciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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, investigating (a) cumulative environmental impacts, (b) the use of census microdata for social vulnerability modeling, and (c) population and built environment exposure to climate hazards. The broad agenda