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to characterize and manage fracture connectivity and optimize fluid distribution within granites and sedimentary rocks, maximize heat sweep efficiency, reduce preferential flow through highly conductive fractures
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support the optimization of hydrogen storage systems. · PhD in fluid mechanics, energy engineering, chemical/process engineering, or related field · Strong background in Computational Fluid Dynamics (CFD
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matching, optimal transport or cell-cycle modelling. Key Responsibilities These include but are not limited to: Leading an independent research project in scientific machine learning and mechanistic
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) Positions PhD Positions Application Deadline 10 Sep 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Jan 2027 Is the job funded through the EU
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technologies, including the development and experimental validation of waveguide-integrated SNSPD devices; process integration; optical coupling optimization; on-chip detection-efficiency measurement; timing
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work on plant genetics, growth strategies, and crop management with the aim of achieving optimal crop performance by integrating plant, environment, and management. The position offers close
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, develops and optimizes research methodologies, analyzes and interprets scientific data, and leads assigned components of research projects. This role contributes to scientific publications, presentations
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
facilities, as well as support to attract talented PhD students and postdocs from across the world. Assignment Research. As a VIB Group Leader and KU Leuven Professor, you will be expected to (continue to
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 13 days ago
. The results could support targeted high-resolution regional modeling studies, inform optimal locations for deploying field instruments such as IceNode, improve estimates and parameterizations of basal melt
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closely with PhD and MSc students conducting complementary experimental research on extraction and molecular characterization of DNA and proteins from historical tissues. Responsibilities: The successful