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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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crucial insights. In this project, you will contribute to the development of AI-driven methodologies for experimental fluid mechanics , focusing on: Designing multi-fidelity neural networks for adaptive
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Networks for Multi-Scale Urban Energy Systems Your tasks The focus of this research is to design and develop (physics-informed) hierarchical graph neural network architectures that can capture the complexity
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) ENDOTRAIN is a Horizon Europe Doctoral Training Network dedicated to transforming the diagnosis and management of adrenal disorders through cutting-edge digital tools. ENDOTRAIN will train a new generation
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process Applications will be reviewed on a rolling basis until the position is filled. Additional comments Project Overview Cells sense, integrate, and respond to dynamic stimuli through complex signaling
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environment Ability to work in a team as well as independently Ability to solve complex problems with adherence of strict deadlines Proactive attitude Excellent communication skills (both written and verbal) in
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for Biomedical Engineering Research of the University of Bern, a PhD position is available within the ThromboRisk project, a Marie Sklodowska-Curie Actions (MSCA) Doctoral Network funded by the EU. The position is
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for Biomedical Engineering Research of the University of Bern, a PhD position is available within the ThromboRisk project, a Marie Sklodowska-Curie Actions (MSCA) Doctoral Network funded by the EU. The position is