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develop (physics-informed) hierarchical graph neural network architectures that can capture the complexity of multi-scale urban energy infrastructures. The PhD will explore how these models can represent
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, reliability, and availability of complex industrial systems while making maintenance strategies more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance
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Marie Curie Grant Agreement Number 101226997 Is the Job related to staff position within a Research Infrastructure? No Offer Description Background Information Marie Skłodowska-Curie Doctoral Networks
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Marie Curie Grant Agreement Number 101226997 Is the Job related to staff position within a Research Infrastructure? No Offer Description Background Information Marie Skłodowska-Curie Doctoral Networks
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to function, and this process is tightly regulated by a network of chaperone proteins. At the heart of this network is Hsp90, a molecular chaperone essential for the folding and maturation of at least 20% of
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100%, starting January 2026 (negotiable) Proteins must fold correctly to function, and this process is tightly regulated by a network of chaperone proteins. At the heart of this network is Hsp90, a
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. Our technological focus is thermal energy systems, sustainable carbon feedstock, and CO2 capture, utilization, and storage. Project background To achieve Switzerland’s net-zero climate target by 2050