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Sorbonne Université SIS (Sciences, Ingénierie, Santé) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 10 days ago
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information about the network: https://euraxess.ec.europa.eu/jobs/401249 1. Context and Challenges Title: Physics-Informed Neural Operators (PINO) for Ultra-Fast Tomography: Toward Fundamental and Generalizable
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next-generation networks. In particular, the postdoctoral fellow will take a lead role in investigating novel methods to address the cyber security of future flexible and programmable communication
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, and causal inference on networks, as well as the analysis and modeling of complex systems and social networks using advanced methodological frameworks. The position requires the application of high
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-88 Marie Curie Grant Agreement Number 101225380 Is the Job related to staff position within a Research Infrastructure? No Offer Description An Innovative Doctoral Network Are you fascinated by how
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complexity to higher education system employees. This position assists users in successfully utilizing their hardware and software workstations including troubleshooting operating systems, desktop applications
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addition, the dynamics and transport processes across the UTLS adds complexity to unveil the role of UTLS aerosols in cirrus formation and the life cycle of cirrus. Therefore, it is crucial to measure
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
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of networked desktop computing in a Windows environment. Experience in a complex computing environment. Demonstrated ability to develop creative solutions for academic, instructional, business and research needs
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Complex Systems. Applicants are invited to propose a research project around understanding the impact of regenerative design interventions in complex industrial systems, particularly food systems