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covered. Closing date: 23rd October 2026 Interviews: TBC (online) Start date: January 2027 Project Title: Battery degradation modelling and SOX estimation for EV applications Director of Studies: Prof
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the fulfilment, cumulatively, of at least one of the following requirements: a) Have demonstrated experience in computer programming. 8.2. The decision of exclusion on absolute merit is notified to the candidates
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Parametric integrators approximate solutions of (high-dimensional) partial differential equations by restricting the numerical approximation to a closed form that nonlinearly depends on, and is
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29 Aug 2026 Job Information Organisation/Company ARCNL Research Field Engineering » Computer engineering Engineering » Precision engineering Physics » Computational physics Physics » Metrology
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contribute to the development and validation of computationally efficient motor-twin models for permanent magnet synchronous machines. The work will focus on machine modelling, parameter and state estimation
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features, such as the emergence of a dominant mode with a small number of azimuthal modes (typically 1 or 2), and does not allow for accurate estimation of turbulent transport, which is essential
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 2 months ago
simulation to reduce the real-to-sim gap; (ii) estimating each mechanism's performance and its sensitivity to variation in design or manufacturing parameters, such as used material, prototyping technology, or
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parameters of the pharmaceuticals. Typical liquids to be administered are noradrenaline, dopamine, dobutamine, morphine, insulin, glucose and saline solution. Whereas the flow sensors themselves are reaching
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of integrated photonics and device physics. Ability to measure, analyze and interpret key passive and active waveguide device performance parameters. Significant knowledge of integrated photonic platforms, trade
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for analysing authentic, synthetic, and manipulated images or videos. The work will combine predictive performance with explainability, uncertainty estimation, robustness, and generalization. Attention will be