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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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of this development by exploring innovative approaches. You will be defining and extracting novel types of relations from event and tracking data. To analyze and interpret resulting spatio-temporal networks, you will
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expertise will extend to various areas, including quantum Monte Carlo, machine learning, quantum computing, quantum machine learning, and tensor networks. These and other techniques will allow us to confront
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on musculoskeletal biomechanics and mechanobiology across all scales. Project background This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof
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to staff position within a Research Infrastructure? No Offer Description THE COMPANY Fluxim provides device simulation software and measurement hardware to the display, lighting and photovoltaics
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-Curie (MSCA) doctoral network led by Prof. Persson, Uppsala University. This network has 8 doctoral candidate host institutions: Uppsala University, Universitat Politecnica de Catalunya, Dublin City
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Description As part of a new EU MSCA Doctoral Network ELEVATE (101227453), we are offering a PhD Position on “Modulating bursting activity in silicon neurons to control plasticity and attention”. Location
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and the underlying genetic networks through comparative transcriptomics analyses. The work will involve fieldwork in East Africa and laboratory research in Switzerland, with additional visits
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, networking, and career development are located in Basel. Basel provides a high standard of living and a rich and varied cultural atmosphere.