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machine learning models, and develop a generalizable decision-support system for vehicle and station allocations. This research will be conducted together with domain experts and collaborators. The research
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the power of both classical and quantum computing resources? How can we exploit or take inspiration from quantum physics to develop cutting-edge machine learning? Your work will encompass a diverse array of
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the research platform, support interdisciplinary projects that integrate multiple data sources, and use high-performance computing resources to manage, process, and analyse large environmental datasets. Job
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methods for Federated Learning on resource-constrained networks. Your research within the project will contribute towards your doctoral degree at ETH Zurich. You will be supervised by Prof. Dr. Roger
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we seek to enhance resources for student learning on statistics and machine learning applied to these topics. Project background We would like to develop learning exercises that help students learn how
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efficient planning, cost control, and strategic use of resources Provide structure, guidance, and counsel for events throughout the year by defining processes, standards, and best practices for the entire
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for poverty reduction, responsible resource extraction, and evidence-informed policymaking. Please consult the Development Economics Group for an overview of ongoing research projects. Our team: We
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processes that lead to natural hydrogen generation, focusing on the potential of natural hydrogen as an energy resource. The research will also extend to the study of hydrogen generation in planetary systems
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management systems (e.g., openEdx) and familiarity with the concept of Open Educational Resources (OER); applying best practices in scientific programming (e.g., automated testing and version control
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to the use of the geological resources of Switzerland. This currently includes the mineral resources as well as energy resources and reservoir rocks in the deep underground. Project background The swisstopo