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Field
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reliable. One of the central objectives of our research group is to develop methodologies and tools with which we can guarantee with 100% certainty that the right problem has been solved correctly
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Website https://sede.udc.gal/services/electronic_board/EXP2026/008881 Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications PhD Additional Information Eligibility criteria
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require electronic interfaces that can operate reliably at cryogenic temperatures. However, conventional room-temperature electronics rely on extensive wiring, creating significant challenges
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with traffic jams spreading like oil spills over entire networks. We believe traffic management based on reliable predictions is therefore crucial to ensure accessibility and safety, especially during
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systems, optimization and networks, embedded and real-time systems hardware and software, fault diagnosis, cyber-security, reliability, resiliency and fault tolerance, cyber-physical systems, Internet
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actions. In parallel, the project will explore AI-driven strategies for reducing energy consumption while maintaining productivity and system reliability. The research will involve the design and
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communications, wireless sensing, and non-terrestrial networks (NTN), addressing fundamental challenges in reliable, resilient, and sustainable connectivity. You will join an international research environment
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SD-26109- POSTDOCTORAL RESEARCHER IN AI-BASED ENERGY MANAGEMENT OF RESILIENT MICROGRIDS WITH SECO...
our website: https://www.list.lu/ How will you contribute? You will contribute to the ENERGY-RESILIENT-UA project, which aims to support vulnerable communities in Ukraine through resilient, low-carbon
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scientifically justified, to achieve superior joint integrity, metallurgical compatibility, and operational reliability in space. A central focus is the altered plasma and arc physics that arise in vacuum, where
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measurement units (IMUs), cameras, and LiDAR to improve localization accuracy, reliability, and real-time navigation performance in dynamic industrial environments. The project will focus on the design of AI