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at international project meetings. We require a solid interest in digital electronics development, experience in C and python programming and familiarity with Linux environments. Knowledge of FPGA-related workflows
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platforms: VME, PLC, µTCA, FPGA. Knowledge of current government cyber security orders and best practices for industrial control systems cyber security. Special Requirements: Physical Requirements: Work
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functional support to ESA projects and carries out technological research and development (R&D) in the field of integrated circuits, relating, for example, to ASICs, ASSPs, FPGAs, microprocessors and
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- Neuromorphic and AI-Optimized Processors – Design AI-specific chip architectures, including neuromorphic and domain-specific accelerators (TPUs, NPUs, FPGAs), for low-power and real-time AI processing. 2- AI
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or digital circuits -Experience integrating analog and digital (FPGA, microcontroller) circuits -Evidence of a strong desire to teach students the practical aspects of electrical and computer engineering
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. Experience designing or maintaining FPGA devices. Expertise in the use of electronics test equipment. Machine shop skills as applies to electronics fabrication. Demonstrated experience for which significant
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Networks, Robotics, Digital Design and FPGA Prototyping, Neuromorphic Computing and AI Hardware accelerators, and Quantum Computing. Qualifications Qualifications & Experience: Required Qualifications: PhD
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environment. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio Pruneri to focus on FPGA development to implement practical protocols oriented toward the space segment
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hardware systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software
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hardware systems including bare-metal embedded systems, RTOSes, FPGAs, and embedded Linux. You will have opportunities to develop tools, techniques, and processes to solve some of the most difficult software