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Field
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significant research program funded by the Australian Research Council Discovery Project titled “Discovering the sustainable size of cities”. This interdisciplinary project investigates how high-speed rail (HSR
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conceptual framework linking nanoscale features to macroscopic adsorption efficiency. Generate and curate high-quality datasets to support data-driven materials optimization and future integration with AI
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scientific exchange at the national and international level Your Profile: You have successfully completed a master’s degree in natural or (industrial) engineering, computer science, or a related field You
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) engineering, computer science, or a related field You have very good knowledge of energy technology, energy economics, and energy policy You have already gained initial experience in energy system modeling You
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of synthesized organic molecules, using NMR, MS and SC-XRD; scale-up of the synthesis of pyrrolizidine core; synthesis of analytical standards; rationale-based synthetic route design and reactions optimization
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parameters by trial-and-error, leading to a time consuming sub-optimal selection. In the domain of high precision machining, tools are prematurely discarded to avoid the risk of costly non-conformities
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semiconductors for interconnecting batteries and fuel cells with the vessel’s onboard DC distribution grid. A particular focus of the project will be on delivering optimized converter designs in terms of voltage
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optimal strategies for cyber-physical systems”). The Department of Computer Science features a broad range of synergistic activities within research and education in the general area of computer
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on generating new knowledge for optimizing biological conversion of carbon dioxide to acetic acid in close collaboration with an industrial end-user of the developed technology. Responsibilities and tasks Your
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generative design approach needs to be developed to rapidly design globally optimal (e.g., cost, feasibility, contribution to energy efficiency, resource availability, and potential for mass execution