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-level layer implementations - extend hardware developments to use near-FPGA DDR and HBM memories - create functional demos using networks of interest (Yolo, Resnets, LLMs, ...) - create proof-of-concept
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of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field Biomimetic Echolocation and Autonomous Aerial Robotics with a focus on FPGA-based sensor design and signal
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-hardware co-design of neural architectures, memory hierarchies, and communication systems Model compression and optimization (pruning, quantization, knowledge distillation) for edge deployment FPGA- and ASIC
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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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architectures. Knowledge of embedded systems. Knowledge of developing systems with systems-on-a-chip (SoC) and FPGAs. Knowledge of scheduling is desirable. Motivation to pursue a doctoral degree and contribute
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photon detectors (both SPADs and SNSPDs). - Development of circuits for the treatement of analog signals produced by fast linear optical detectors. - Managment of the electornic elements between the FPGA
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science discipline (e.g., technical computer science). Technical foundation: You have hands-on experience with electronic system design and setups; experience with microcontrollers or FPGAs is an advantage
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-design with accelerators (FPGAs, GPUs, near-memory systems) to achieve real-time, energy-efficient AI for high-tech industry applications. Work with leading companies like ASMPT and shape the future of AI
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the development of scalable software tools and pipelines, potentially leveraging GPU/FPGA accelerators. Our aim is to build next-generation molecular atlases for chronic diseases and to improve patient
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criteria Candidates must have relevant professional or academic experience in Radio Access Networks, physical layer of communication systems, software defined radios, microcontroller-based systems, FPGA/SoC