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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 6 days ago
out research work on problems of statistical estimation with the support of information theory. This research involves a literature review, mathematical analysis, and numerical simulations, as
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, or numerical methods. Your job responsibilities As a Postdoc in Quantum Enhanced MRI your position is primarily research-based but may also involve teaching assignments. You will contribute to the development
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of a major nuclear reactor called ITER. Numerical simulations play a crucial role, as they help avoid costly or unnecessary experiments by providing a better understanding of the physical phenomena
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numerical branch-following (continuation) methods. Knowledge of solid-to-solid phase transformations such as Martensitic Transformations and/or Reconstructive Transformations. Demonstrated ability or interest
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social and cognitive psychology. The laboratory also develops cross-disciplinary research initiatives among these teams. It also hosts numerous doctoral and postdoctoral researchers. The CLLE is a CNRS
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to contribute to research on hybrid numerical-exponential asymptotic methods and their applications at the University of Sydney Base Salary, Academic level A $105,117 - $121,054 p.a + 17% superannuation About the
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international community of scholars and fellow postdocs and benefit from a world-class seminar series. The Center also hosts numerous workshops, conferences, and other academic events that foster collaboration
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., 2024). In a wider context, crack detection has received a lot of attention and, since some preliminary attempts such as DeepCrack (Liu et al., 2019), numerous methods using deep learning have been
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challenges and conduct the research needed to accelerate the delivery of solutions to the marketplace. The Radiation Transport and HPC Methods (RTHPCM) Group within the Nuclear Applications Methods and Data
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defence solutions for SMEs by combining lightweight, privacy-aware monitoring with machine learning methods for threat detection, attacker modelling, and automated adaptive response. A key aspect of the