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engineering training in the areas of design and development, covering subjects such as material selection, mechanics, dimensioning, and modeling. Where to apply Website https://www.galaxie.enseignementsup
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, Salesforce, ServiceNow, Snowflake, and Azure-and designs future-state structures that support data products, analytics, automation, and AI/ML enablement. Establishes enterprise data standards, models
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) Unique applicable skills. Application Materials Required: Further Info: http://www.cee.cornell.edu/ 220 Hollister Hall Ithaca, NY 14853-3501
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Environments and Materials in Poitiers (IC2MP, UMR CNRS 7285), within the Applied Quantum Chemistry group of the Catalysis and Unconventional Environments team (https://ic2mp.labo.univ-poitiers.fr/ ). Where
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machine learning (ML) approaches offer a powerful framework for modeling complex catalytic materials with near ab initio accuracy while enabling simulations at significantly larger spatial and temporal
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of computational fluid dynamics (CFD) models describing thermochemical conversion processes of biomass and waste-derived fuels, including combustion, pyrolysis, and gasification. The successful candidate will
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Jobs Online system. Application Materials Required: Further Info: https://www.phys.sinica.edu.tw/index_en.php Institute of Physics, Academia Sinica 128 Academia Road, Section 2, Nankang, Taipei 115201
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contributions in one or more of the following key areas: computational modeling of chemical systems, AI-driven materials discovery/design, robotics for chemical synthesis, machine learning applications in
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system models. In technologically detailed energy system models, these requirements are increasingly leading to challenges due to the rapid techno-economic development of the modeled technologies
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and regression and/or choice models to identify the determinants of private label acceptance and their relationship to sustainable consumption and waste. The output of the work will be a model of the