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covers a colleague's parental leave, and is therefore limited to the colleague's actual period of leave. About the team: Your future position is in the Research Group Software Architecture at the Faculty
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impact? We are currently seeking a Postdoctoral University Assistant in Software Architectures (parental leave replacement) 39 Faculty of Computer Science Job vacancy starting: 07.09.2025 | Working hours
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 12 hours ago
these architectures through simulation (e.g. ns-3) and hardware test platforms (e.g. Software Defined Radio) will enable critical information for architecture selection of future planetary missions. Field of Science
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networks (5G and WiFi 7 and their evolutions) in terms of architecture, protocols, and optimization. These networks benefit from new technologies and approaches, such as virtualization and AI, to make them
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/Project: We are building an optimisation-driven framework that (i) makes AI agents reliably operate advanced scientific software (e.g., DFT, Wannierisation, and quantum-transport codes) and (ii) uses
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Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures) to large-scale biomedical
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, reliability, and security Converged fiber–wireless architectures Within this environment, the project Agentic AI for self-deployable 6G networks in the edge continuum (EC-DEPLOY-6G) pioneers the use of large
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Job Description Real-time systems need to guarantee the timely execution of tasks. Furthermore, the whole system (processor, compiler, application software) needs to be analysable for the worst-case
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transformer-based architectures to create a powerful tool for understanding and predicting bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models
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following: Designing efficient digital CIM architecture using advanced CMOS nodes Develop system architecture for digital CIM accelerator Develop efficient mapping schemes of AI workloads Identifying