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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
developed. Subsequently, experimental and numerical studies are foreseen on materials that are more difficult to use in L-PBF see more here https://www.cemef.minesparis.psl.eu/wp-content/uploads/2026/01
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machine learning techniques for building efficient reduced-order models in the context of the numerical simulation of parameterized partial differential equations. The analysis of recent deep learning
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National Student Teacher of the Year, National Teacher of the Year, numerous Fulbright Scholars and Milken Family Foundation National Educators award winners; and several Michigan Teachers of the Year
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porosity models can be improved further by improving the embedded subgrid closure models and numerical techniques. The proposing team is currently working on these aspects, but time is lacking for a
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recently obtained by Pelayo and Tang. To illustrate the results, it will be possible and interesting to rely on the numerous examples investigated in the last few years and for some of which
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experience, in a relevant numerate subject, for example, mathematics, operational research, statistics or economics. Ideally, you should have an emerging track record of peer-reviewed publications and research
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fractured formations as well as experience in Petrel and programming skills are desirable. The applicant must be fluent in spoken and written English. We offer numerous benefits, including: Convenient public
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. The candidate will pursue research in machine learning, numerical optimisation, and process systems engineering, and collaborate with academics from the Department, the Sargent Centre, and industrial
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the development of numerical models. Metrics to quantify damage detection effectiveness, such as Probability of Detection (POD) and Model-Assisted POD (MAPOD), will be identified to develop a figure of merit
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The Applied Mathematics and Computational Sciences (AMCS) program in the Computer, Electrical and Mathematical Sciences and Engineering Division (https://cemse.kaust.edu.sa) at King Abdullah