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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 | 5 days 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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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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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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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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achieving lower system costs. More information on the project: https://radarmimo.com/4d-imaging-automotive-mimo-radar/ The selected PhD candidate will work on one of the following research topic: Optimal
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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