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-quality standards. This project aims to develop a novel AI-driven solution to revolutionize forging process optimization by leveraging surrogate modeling techniques. The objective is to create an AI-based
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our team working at the forefront of energy system modelling. This position focuses on the development and application of advanced power and energy system models, emphasizing the integration of mobility
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modeling, interpretable and explainable machine learning, or hybrid modeling by combining process-based and data-driven approaches. Besides your own main project focus, you will contribute to the supervision
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sensing, and field sampling, and use these data to answer questions with statistical and process-based models. Project background We are inviting applicants for a postdoctoral position, starting as soon as
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. The position is available immediately, with an initial appointment for 1 year, renewable up to 3 years based on performance. Job description The candidate is expected to work on the broad theme of reinforcement
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models. This simulation-as-a-service middleware architecture developed by the Digital Twin Lab is currently powering applications such as the Digital Urban Climate Twin. More specifically, you will be
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and policy choices Effects of intergovernmental fiscal transfers Fiscal decentralization and residential sorting The work might be based on theoretical modelling and/or empirical analysis. Profile
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systemic perspective enables us to study new technologies and their interdependencies at the level of the circular economy itself. The module will provide integrated frameworks and tools based on advanced
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Postdoctoral researcher position on Resilient Energy Infrastructures for the Swiss Energy Transition
devising targeted policies or enhancing the resilience of the Swiss economy to energy disruptions. Finally, RECIPE will ensure that specific actionable recommendations to stakeholders will be produced based
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creation and taxation of corporate profits in the digital economy The effect of the digital economy on tax competition Artificial intelligence and fiscal systems The work might be based on theoretical