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Grant(s) (RG) in the scope of R&D projects FireLSF - Development of predictive models for the fire resistance of light steel frame walls - an integrated experimental, numerical and machine learning
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nanostructures for photonic integration in smart vision systems. In particular, he/she will be responsible for the theoretical study and development of codes and numerical models for computer simulation and design
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with experts in climate modeling, geosciences and in renewable energy development have been set-up to respond to these societal issues. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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: Design, implementation, validation, and evaluation of Artificial Intelligence and Machine Learning models for UAS identification and classification based on AI and RF spectrum occupancy data sets
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) airspace. NP relies heavily on the aircraft’s overall flight performance, and thus on its power train characteristics, aeromechanics up to elasticity and flight control fidelity. The modeling of flight
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both theoretical and applied research, bridging numerical modeling with experimental validation in collaboration with international partners. Work Performed • Develop and implement a unified
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://tablon.upct.es/anuncio/ YEbpR7 J y98 Deadline for submission of applications: 23 December. TITLE OF THE POSITION OFFERED: Researcher in numerical modeling. SUBJECT AREA: Engineering. TYPE OF CONTRACT: Indefinite
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and implement physical and numerical models describing acoustic noise generation and propagation in multiphase wellbore flow. Investigate how flow composition, turbulence, and wellbore geometry
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of the Institut Polytechnique de Paris, is one of France's top 5 general engineering schools. The mainspring of Télécom Paris is to train, imagine and undertake to design digital models, technologies
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background in petroleum engineering, geology, geophysics, or related fields. Knowledge of reservoir engineering (especially numerical simulation) and programming skills is preferred. The objective