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to operate as a passive radar, active radar, communication node and spectrum surveillance tool. FPGA development on the system of each of these modes will be an objective in order to deliver novel research
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coarse grained reconfigurable arrays (CGRAs), virtualisation of FPGAs using partial reconfiguration, and accelerator support for machine learning. Postdocs at KAUST enjoy generous salaries and free
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the following areas: Matlab and/or Python proficiency for data processing PCB designing and/or microprocessor programming (ARM) Rapid Prototyping (3D printing, Raspberry Pi, FPGA) Optional experience
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with industrial communication protocols (e.g., CAN, Modbus); and experience with embedded C/C++ programming for implementing control algorithms on DSPs and FPGAs. Ability to lead a team and work
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receiver using an FPGA platform. 5) reporting on the carried out activities in the form of project deliverables and journal/conference publications. Place of work: The work will be developed at the premises
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) Rapid Prototyping (3D printing, Raspberry Pi, FPGA) Electrode patterning and cleanroom fabrication techniques Good team player with strong interpersonal skills Entry level applicants will also be
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for accelerators, such as GPUs or FPGAs. Experience in refactoring or porting large codebases (over 100k source lines of code). Background in supporting scientific code on HPC systems or familiarity with components
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Design). Ideal candidates have Specialist Knowledge in Neuromorphic Engineering, with experience in Designing and Building and Implementing FPGA systems, working with and/or developing neuromorphic
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-speed electronic devices and subsystems, together with practical experience handling delicate samples. Additional experience includes programming FPGAs to implement PID controllers. If the successful
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electronics for sensor readout systems, including ASIC and SoC design and verification. Strong experience in hardware–firmware co-design for data acquisition and processing pipelines, including FPGA-based