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topics. Candidates should have some experience working with FPGAs as well as an understanding of computer networks. Experience with both RTL and HLS design is favoured. The ideal candidate would have some
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platforms, including embedded and edge computing environments (e.g., Jetson, Raspberry Pi, FPGA, neuromorphic chips) Publish results in top-tier journals and present at leading international conferences and
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techniques enabling full duplex or simultaneous communication–sensing operation Implement the proposed techniques on the 6GSPACE Lab testbeds (SDR/FPGA/RFSoC based platforms and NTN channel emulators
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, ONNX, TensorRT, FPGA) is an advantage Ability to work across disciplines - mechanics, ML, hardware, medicine We offer Multilingual and international character. Modern institution with a personal
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, depending on your skills, integrating hardware accelerators (FPGA) into "Hardware-in-the-Loop" simulations. Finally, you will actively participate in the scientific dissemination of the work through the
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team
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operations implemented via high-speed FPGA processing. We are seeking a highly motivated and skilled Postdoc to join our cutting-edge research in synthetic dimensions. Within this position, you will create
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or FPGA circuits in the control of electric drives, on utilization of SiC or GaN semiconductors in power converter circuit. Where to apply E-mail drimakat@fel.cvut.cz Requirements Research
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(Netherlands) on PIC packaging, PCB, and FPGA development. Working with IMEC (Belgium) on integrating multi-wavelength light sources into the PCB platform. Working with TU Eindhoven (Netherlands) on interfacing
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Monitoring Drift Chambers (MDT), and in the Event Filter track trigger (EFTracking). The group applies novel Machine Learning tools and techniques to both analyses and trigger upgrades, and leverages FPGA and