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Field
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design and synthesis tools (ASIC, FPGA). Good programming and scripting skills. Excellent English communication, presentation, and writing skills. Must be a team player. Knowledge of computing-in-memory is
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synthesis tools (ASIC, FPGA). Good programming and scripting skills. Excellent English communication, presentation, and writing skills. Must be a team player. Knowledge of computing-in-memory is an added
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design and synthesis tools (ASIC, FPGA). Good programming and scripting skills. Excellent English communication, presentation, and writing skills. Must be a team player. Knowledge of computing-in-memory is
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good programming and automation skills (e.g. C++, MATLAB, Python, LabVIEW, Arduino, Raspberry Pi or FPGA-based controllers) Expertise in developing robotics and motion control systems is beneficial
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should also be able program, at a basic level, hardware which utilises FPGAs and small embedded processors; these devices are increasingly being used for teaching/research within Electronic Engineering
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of using FPGA tools and provide them the necessary training to use the ASIC tools. The team at Cambridge consists of three investigators: Prof. Robert Mullins (PI), Prof. Timothy Jones and Dr Rika Antonova
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have a good knowledge base on the requirements and trends in futuristic power electronic converters and their components development. Experience with DSP/FPGA/Microcontroller platforms for controller
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individual with the ability to support dynamic research activities and ensure smooth technical operations. You should apply if Specialist in server, storage, network, and FPGA setup/support. Expert in IT
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mitigate those that emerge. Analyze FPGA hardware and software interface specifications described via VHDL or Verilog to ensure it meets system requirements. Analyze software test and evaluation techniques
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accelerators and other scientific applications, focusing on FPGA-based digital signal processing for real-time control. Responsibilities span the full system lifecycle, from concept to commissioning, with