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Infrastructure? No Offer Description Area of research: PHD Thesis Job description: Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS-LEE project, we will use
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expertise in numerical modelling. The post is available from 1st March 2026 for 12 months in the first instance and could be extended further. See http://rccs.hw.ac.uk/ for more details. Key duties and
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 11 days ago
dozen passes are regularly made. One of the challenges of the project is to propose numerical approaches that enable these simulations to be carried out within a reasonable time frame, given the volumes
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Electrode Assembly. J. Power Sources 2021, 512, 230431. https://doi.org/10.1016/j.jpowsour.2021.230431. ; [2] Carral, C.; Mélé, P. A Numerical Analysis of PEMFC Stack Assembly through a 3D Finite Element
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system performance and guiding the design process. 2. System Optimization for Cost and Performance: Using your numerical model, you will conduct extensive optimization studies. The goal is to fine-tune
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and ML driven screening and optimization workflow to improve the generality of modern synthetic methods. Our first objective is to identify structural patterns and scaffolds that are accessible by
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system performance and guiding the design process. 2. System Optimization for Cost and Performance: Using your numerical model, you will conduct extensive optimization studies. The goal is to fine-tune
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to develop complement/augment classical CFD methods with quantum algorithms/techniques. The work lies at the intersection of multiphase flow physics, numerical modeling, and quantum computing. Who we
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radiation in the 20–40 eV range, corresponding to the expected operating values for the abovEF instrument under development. Analysis of the detector's response serves to optimize the spectrometer's optical
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modeling strategies for multiphase flow systems. The PhD topic is on exploring how emerging quantum computing methods can be integrated with classical numerical models to improve the simulation of complex