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Field
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unsteady operating conditions Parametric shape optimization using CFD combined with experimental validation, resulting in smart generators for flow control and heat/mass transfer intensification
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 9 hours ago
the Sierra project team (https://www.di.ens.fr/sierra/ ) within the Inria Paris (https://www.inria.fr/en/inria-paris-centre ) to work under the supervision of Adrien Taylor and Aymeric Dieuleveut (http
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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doctoral programme in engineering Candidate should have average knowledge in mechanical design and functional optimizations. Candidate should be highly motivated to work in an interdisciplinary group
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to carry out individual project work in a European country other than their own. The training network “SPACER” is made up of 21 partners, coordinated by Fraunhofer ICT in Germany. The network will recruit a
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low-temperature plasmas, covering deposition, fundamental aspects and process optimization trough AI. The work will be performed at Ecole Polytechnique in Palaiseau, France. Starting date : December 2025 at last
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influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
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preservation from digital twins, so extra shelf life, to economical advantages. Integrate these digital twins into other platforms, such as mobile applications. Extend the digital twin work to optimize thermally
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live in. Your role To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering: Variational quantum
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how perishable biological products, such as vaccines, react inside cold chain unit operations and to pinpoint why some products decay faster. For that purpose, we develop digital twins of the cargo