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Field
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Engineering, Industrial Engineering, Machine Learning, Artificial Intelligence, or related fields Expertise in numerical simulation of multi-physics systems, especially fluidic problems Expertise in generative
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computational models to simulate and analyze normative behaviors in various contexts. Data Collection and Analysis: Design and implement empirical studies, including data collection, statistical analysis, and
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The Emerging nanoscience Research Institute (EnRI) focuses its research on advanced materials, computational modelling & simulation and development of small-scale testing and materials
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. Conduct research on optimization techniques and machine learning models in Air Traffic Management systems/airport operations. Collect, process, and analyse air traffic data relevant to the project. Develop
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provided throughout the recruitment process. To be successful you will need Postgraduate qualification relevant to research (Level A); PhD preferred (Level B) Experience implementing data collection and
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; however, applicants are asked not to send a copy of their dissertation. Separate from these application materials, applicants must arrange to have three letters of recommendation submitted. Recommendation
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friction welds. Work here includes the characterization of production machines using additional instrumentation, the simulation of the process using several numerical methods, and the development
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application consists of: An application Transcript(s) – For this opportunity, an unofficial transcript or copy of the student academic records printed by the applicant or by academic advisors from internal
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for a PhD Research Fellow in Hydrogen Safety at the Department of Physics and Technology (IFT). The position is for a fixed-term period of four years, including one year allocated for career-promoting
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“Hydrogen storage for maritime and industrial sector.” The position is organized under the Department of Process, Energy, and Environmental Technology and reports to the Head of the Department. The Ph.D