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Field
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implementation of: low noise analog electronic circuits electronics operating at low temperatures digital FPGA based electronics Design of electronics for slow control systems. R&D, construction, testing
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: Strong hands-on experience with SDRs (USRP, RFSoC, or equivalent). FPGA programming experience is a plus. Programming Skills: Strong experience with MATLAB and/or Python; experience with C++ for high
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applications. The role involves developing and upgrading digital Low-Level RF systems, FPGA-based real-time electronics, and software platforms, using innovative feedback techniques and advanced programming
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diseño y verificación con FPGAs. Experiencia demostrable en el diseño de sistema empotrados de alto rendimiento para aplicaciones de aprendizaje automático (ML/DL) aplicado a imágenes. Experiencia
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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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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 2 months ago
supply for the WFI camera with numerous different and noise-sensitive analog voltages to FPGA-based control electronics including the understanding and functional and verification testing of an externally
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optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and distributed machines). In order to have the best performance (fastest execution
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with designs for infrared or optical image sensors, sensor characterization, performance optimization, and calibration methods. Digital logic design and implementation using FPGAs. Experience in DSP
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-healthcare technologies•Security and privacy in computing systems and IoT•Intelligent wireless communications and networks•Systems-on-chip, FPGA/microcontroller design, real-time systems•Biomedical
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sensing hardware platforms. Demonstrated experience in supervising the digital implementation of advanced DSP blocks on FPGA and ASIC platforms. Strong background in supporting the design and modelling