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to Computational Fluid Dynamics. Mathematical topics of interest include structure-preserving finite element methods, advanced solver strategies, multi-fluid systems, surrogate modeling, machine learning, and
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to Computational Methods for Data Reduction. Topics include data compression and reconstruction, data movement, data assimilation, surrogate model design, and machine learning algorithms. The position comes with a
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computing resources. The MMD group is responsible for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part
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publish in peer-reviewed journals Your Profile: Master and preferable subsequent PhD in computer science, natural sciences, mathematics, or a related field, with a strong scientific record documented
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: 278599539 Position: Postdoctoral Research Associate/Research Program in Development Economics (RPDE) Description: The Research Program in Development Economics (RPDE) at Princeton University's School
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Postdoctoral researcher in marine ecosystems modelling for the Marine and Continental Waters Program
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are currently seeking a Postdoctoral researcher in marine ecosystems
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The Research Program in Development Economics (RPDE) at Princeton University's School of Public and International Affairs invites applications for two Postdoctoral Research Associate positions
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the Department of Informatics, part of the Faculty of Natural, Mathematical & Engineering Sciences (NMES). The department is internationally recognised for its contributions to robotics, AI, and human-centred
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Based at University of York campus (with some remote working options available) The Department of Language and Linguistic Science is seeking a Postdoctoral Research Associate (PDRA) in Computational
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. The successful candidate will be joining the Quantum Information Theory group led by Prof. Dr. Antonio Acin and will be working on the development of quantum computation applications across various scientific and