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requires very fine meshes (105 to 106 computational points). This entails considerable CPU and data treatment/storage costs. These issues can be alleviated by using scale transfer methods. This approach has
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areas requires very fine meshes (105 to 106 computational points). This entails considerable CPU and data treatment/storage costs. These issues can be alleviated by using scale transfer methods
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. The Research Assistant may also gain experience in optics and computation, including optical design and alignment, numerical modeling and simulation using software such as COMSOL or Lumerical FDTD, instrument
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30 Apr 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not
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associate in the broad areas of high performance computing and machine learning. HighZ is focused on developing scalable high order methods, enhanced with surrogate models for subscale physics, for modeling
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Section, Nuclear Energy and Fuel Cycle Division at ORNL is seeking candidates to apply for the computational nuclear engineer role. This role is responsible for the development and implementation of methods
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exploit data and enhance predictive capabilities. Particular attention will be paid to numerical robustness, algorithm stability, and computational efficiency. Experimental work will complement
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modeling, including numerical analysis, finite element methods, and software engineering Experience in software development in the C++ and Python languages The ability to work flexible hours and travel
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 13 days ago
38 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 2026-1828/1 Is the Job related to staff position within a Research Infrastructure? No
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program with 25 positions, we offer 9 fellowships and participate in numerous graduate school and the MD/PhD program of the CU School of Medicine. Our faculty and staff are diverse and gender balanced