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Global Change Group at Wageningen University and Research invites applications for a PhD position (4 years) in “Modelling non-CO2 greenhouse gas emissions from agriculture” starting in September 2026
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, including gas turbines and combustion engines. We combine advanced computational fluid dynamics, theory, machine learning, high-performance computing, and experimental methods to investigate and model complex
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sustainable forest-based fuels in gas turbines for mobile and stationary applications. The research is based on applying the IEA-ETSAP TIMES model framework, which is widely used across the globe to analyse
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
systems that will benefit the development of models and methods for predicting the behavior of gas hydrates in their natural environment under natural conditions and production scenarios. RIC supports major
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 15 hours ago
Development Program to obtain pertinent, high-quality information on natural gas hydrates systems that will benefit the development of models and methods for predicting the behavior of gas hydrates in
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position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc / Modelling and Analysis of Integrated Power, Gas and Hydrogen
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 15 days ago
engineering (within the past 3 years) with a strong background in particle-based (kinetic) and fluid (continuum) methods for the modeling and simulation (M&S) of dense and rarefied ionized gas flows. Candidates
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. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr.Leticia Tarruell . The Fermi-Hubbard model is a cornerstone model of condensed matter physics. It describes the physics
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; develop or support modelling approaches that link experimental observations to predictive descriptions of the process; investigate the influence of operating conditions, gas composition, flow rate, pressure
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reacting-flow modelling. This is a one-year research appointment, with the possibility of extension subject to satisfactory research progress and funding availability. The successful candidate will work