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Field
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understanding of power electronics hardware, software and control concepts with a focus on mobile applications (EV, ship, aerospace) Recognised expertise in a relevant scientific field, demonstrated through
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supporting the setup, calibration, and running of laboratory experiments, including the preparation and configuration of sensors, data acquisition systems, and associated hardware and software components
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validate methods on real robotic hardware and experimental teleoperation setups. Actively collaborate with industrial and academic partners involved in the project. Publish research outcomes in leading
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
. These simulations are run on highly parallel supercomputers on which both the hardware and the software are optimized for the task at hand. While the computing power of each processing unit is still increasing, the
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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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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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. 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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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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of benchmarking Develop necessary hardware and/or software capabilities relevant to the topic Collect necessary data Perform various experiments to document system development and benchmark against performance
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equipment, and have access to valuable industry data. The student will benefit from opportunities to present at leading international conferences. Additional training in software-defined radio, hardware-in