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in the global carbon cycle and have the potential to mitigate greenhouse gas emissions by oxidizing methane, even at atmospheric concentrations. The research will investigate how interactions between
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interactions and their integration with wider energy networks. Your tasks The focus of this research is to design and develop (physics-informed) hierarchical graph neural network architectures that can capture
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, workshops, and international conferences. Interact actively and fruitfully with other researchers, in Basel as well as from other institutions. Contribute to teaching activities at the Department with one
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interactions and their integration with wider energy networks. PhD Position in Hierarchical Graph Neural Networks for Multi-Scale Urban Energy Systems Your tasks The focus of this research is to design and
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leadership skills. Strong coding skills. Ability to collaborate and establish positive interactions with a widely diverse group of people from different backgrounds, countries, ethnicities, genders, etc
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papers, to be submitted to top journals in the fields of Analysis, Probability, and Mathematical Physics. Present your works with talks at seminars, workshops, and international conferences. Interact
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offer a positive research environment in a large, dynamic team at a globally leading academic institution. In our group, you will benefit from frequent interactions with leading researchers from across a