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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
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writing. Responsibilities will include: Conduct advanced multivariable statistical analyses of large-scale population-based data using SPSS Complex Samples and Mplus Draft and lead the submission process
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and development in the chemical conversion and valorization of hazardous waste streams, focusing on complex, reactive materials. Involves process design, optimization, and scale-up, including reaction
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the environmental performance of established and emerging processes. This role includes designing and conducting cradle-to-gate and cradle-to-grave LCAs, building life cycle inventory (LCI) datasets, and integrating
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in signal representation/processing, esp for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state
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sustainability A collaborative, adaptable, and relational approach to team and research work Application Process To apply, please submit the following documents in a single PDF file 1. Curriculum Vitae (max 5
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outcomes The StrokeCog post-doctoral competition has some unique features: It aims to award two of the four PDFs to people who come from under-represented communities. Its application process considers a
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including key components such as cell configurations, flow channels, electrodes, membranes, and catalysts for HER and other electrochemical processes. • Conduct CFD and electrochemical simulations
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groups Familiarity with energy justice, Indigenous-led energy transitions, or education for sustainability A collaborative, adaptable, and relational approach to team and research work Application Process
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energy transitions, or education for sustainability A collaborative, adaptable, and relational approach to team and research work Application Process To apply, please submit the following documents in a