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focuses on hybrid traffic flow modelling such as Physics inspired Neural Nets (PiNNs) or “ML inspired” traffic models. PhD2 focuses on data assimilation and estimating start and boundary conditions such as
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Job related to staff position within a Research Infrastructure? No Offer Description Job description AI is rapidly becoming the primary author of the world's software. Today's models generate code at a
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Physics, Materials Science, Chemistry, Chemical Engineering, Computer Science, Applied Mathematics, or a closely related field, or an equivalent foreign degree. The degree must be awarded no later than
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expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and hands on experience with mathematical optimization and network modelling. A
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expertise in network resilience or survivability and in network optimization. Solid programming skills (for example in Python) and hands on experience with mathematical optimization and network modelling. A
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to the application deadline. Knowledge in electrochemistry, mathematical modelling, electrotechnology and/or experience in laboratory work is favourable. Knowledge of Swedish is an advantage. What you will do Planning
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
Engineering, Systems Engineering, Data Science, or a closely related field Experience with artificial intelligence, machine learning, physics-informed neural networks, or reduced-order modeling (ROM
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
research for the Joule 3.0 MDC using advanced modeling and data synthesis techniques. Stipend: The selected faculty participant will receive a monthly stipend commensurate with their institutional salary
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 5 hours ago
, methane, and additives. Oil recovery quantification will include high pressure and temperature laboratory flow tests with rock cores. The participant will also engage with reservoir modeling team to link
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Science and Engineering Division. The Composites Lab started at KAUST in 2009 and is an integrated environment for composite science, combining modeling and experimental expertise in a single working