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continuing innovation within the infrastructure. This individual ensures that system hardware, operating systems, software systems, and related procedures adhere to industry best practices, DTCC values and
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee The position is based at the School
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students, it offers a friendly and international work environment Learn more about CQT at https://www.cqt.sg/ Job Description A short-term postdoctoral research fellow position on the topic of quantum error
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24.04.2026, Academic staff At the Chair of Space Mobility and Propulsion at TU Munich, we focus on innovations in propulsion hardware and software to advance sustainable and autonomous mobility
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within co-simulation frameworks. The work will also involve the implementation of virtual sensing frameworks for the estimation of structural response, leveraging software and hardware resources provided
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Reference Number BAP-2026-229 Is the Job related to staff position within a Research Infrastructure? No Offer Description We are seeking an enthusiastic PhD researcher to advance hardware-aware Neural
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-constrained edge hardware. Your primary responsibilities include integrating and deploying SDR platforms — such as USRPs, FPGAs, and Raspberry Pi 5 — and implementing, optimizing, and benchmarking AI and
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developing a multimodal sensing and inference framework that can run on compact AI edge hardware while remaining reliable in complex, contested, or visually degraded environments. Aim You will design, build
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real-time decision-making. The field is developing rapidly across academia and industry. The network community spans expertise in neuromorphic computing, hardware and chip design, microelectronics
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advanced sensing modalities, highly optimized embedded AI workloads, and custom hardware platforms to enable robust, realworld perception. To drive this initiative, we are hiring a Senior SensorFusion