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these exiting domains. Topics include but are not limited to remote direct memory access, hardware offloading and acceleration, AI for networking and security, storage management, cryptography, and architecture
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in example design, development or operations of small satellite hardware or software. Applicants should also have good communication skills in written and oral communications in English language
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, test, and demonstrate resilience strategies that enhance ISAC system robustness against various types of jamming. You will design, implement, and analyze ISAC resilience strategies using advanced
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design next-generation computer architectures for running large AI models on embedded and edge systems under strict timing, energy, and memory constraints. You’ll explore hardware-aware optimization and co
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of distributed MIMO, and/or coordinated multi-AP operation (under study in the Wi-Fi 8 standardisation workgroup), using Hardware Description Language on FPGA, based on the open-source openwifi project (https
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(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
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. Responsibilities and tasks This PhD project aims to optimize the design of hybrid electrical–optical computing architectures: Investigate and design optimal computing and communication architectures for hardware
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continues to surge, the steady upscaling of quantum hardware (now reaching thousands of qubits) has resulted in increasingly sophisticated quantum software pipelines. Given the strategic use of quantum
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related to staff position within a Research Infrastructure? No Offer Description Your tasks: Development of methods for designing embedded systems based on large language models (LLMs) Investigation
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inference and deployment costs (e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects