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. Tracking methane cycling—balancing production vs. consumption and tracing carbon substrate sources—remains challenging. We will integrate methane clumped-isotope analysis with carbon and hydrogen isotope
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polymer technologies, that deliver their anti-attachment performance without the use of actives that kill. Hence, they will not contribute to the increase in Anti-Microbial Resistance (AMR). The project
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and materials engineering. For more information about the APE group please use the following link: www.rug.nl/research/ape. The project cooperates with the Bernoulli Institute of Mathematics
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and human health risks. The work will require interdisciplinary approaches to integrate and analyze a multi-year dataset that includes both in-situ water quality monitoring data, fish sample analysis
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Job Description Are you passionate about renewable energy and eager to apply machine learning to real-world challenges? Join our research team at DTU and work on groundbreaking advancements in
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that the electrolysers operate safely and reliably while fulfilling the intended specifications. The knowledge gained from the experiments will be used to determine the appropriate risk and reliability analysis
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Association, which is committed to equal opportunities, family friendliness and the compatibility of work and family life. Our research focuses on the coastal and marginal seas, in particular the Baltic Sea
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural
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tackling climate change. One of the challenges of constructing a fusion power plant is how to fuel the fusion reaction. The vast majority of planned fusion power plants will use a deuterium-tritium fusion
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to facilitate the harnessing of these mechanisms therapeutically. This project will investigate a role for CD8+ T-cells in the immune response to S. aureus infection and specifically, address the hypothesis