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Field
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By combining advances in Physics-Informed Machine Learning (PIML) and Graph Neural Networks (GNNs) with real
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12.10.2021, Wissenschaftliches Personal The TUM Professorship for Data Science in Earth Obervation is seeking a full-time PhD candidate on the topic of “Multi-scale Semantic Understanding
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foundations. Candidates should possess an exceptional academic record and a strong mathematical background. Experience conducting large-scale computational experiments (e.g., multi-GPU systems) is advantageous
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, little is known about cross-talk mechanisms. In this project, the student will use multi-scale modeling, combining elementary reaction mechanisms with mesoscale and continuum-scale multiphysics simulations
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understood. However, the increasing availability of high-resolution satellite imagery now enables the creation of detailed large-scale, multi-temporal inventories, offering new opportunities to investigate
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Do you want to be part of a large scale national project and work on multi-commodity energy districts? The envisioned research is part of the research program Intelligent Energy Systems (IES
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individual-level responses, and the mechanisms underpinning these, is vital to identifying sensitive and resilient populations and species. Scaling from individuals to community-level responses is then
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-scale, distributed, multi-objective optimization techniques applied to energy markets and power systems and AI for optimization and control in power and energy systems. The EES group has strong ties with
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into industrial-grade, sustainable inks. PhD Position three: Computational Modeling of Ink Performance Model the Mechanics of Tomorrow’s Inks This PhD focuses on developing multi-scale mechanical models to predict