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the number of pixels. However, due to the limited timeframe of a PhD thesis, it was not possible to implement all the optimisations identified, nor to carry out a practical comparison of the various
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contract. Expected start: 1 October 2026. PhD enrolment: Université de Lorraine (doctoral school C2MP). The project is part of the ENACT AI Cluster, in the priority area “AI for Engineering and Scientific
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technical tasks or projects. Desirable Education and/or Experience 1. MS or PhD Electrical Engineering, Physics, Applied Mathematics, or related field. 2. 12+ years relevant experience 3. Experience as
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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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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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across environments, hardware, and frequency bands. Collaborate with PhD students, postdocs, and faculty on joint projects, ensuring experimental results support theoretical work. Co-author scientific
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communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings across environments, hardware, and frequency bands. Collaborate with PhD students, postdocs, and faculty
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approach that bridges the analog and digital domains. The research will focus on integrating high-performance analog front-ends--critical for signal purity--with modern FPGA-based digital signal processing
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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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with battle-tested systems engineering. The following requirements are non-negotiable: Education: A PhD in Engineering, Computer Science, Robotics (or equivalent industry experience), backed by a minimum