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(e.g., hardware trojans, side-channel exposure). Co-develop testbenches for hardware simulations and chiplet-level threat modelling. Collaborate closely with FPGA and IC prototyping teams to deploy AI
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. - Hardware acceleration for the development of Artificial Intelligence & Machine Learning techniques using FPGA or other embedded hardware accelerators. - Management, configuration and optimisation
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implementation, including FPGA controlling Additional Information Selection process The selection process consists of an initial evaluation of the candidates' CV, motivation letter and specific merits
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detectors, ultra-high vacuum, tritium gas handling, magnetometry, cryogenic engineering, charged-particle trapping, atom trapping and cooling, RF/microwave cavities and radiation detection, FPGAs, Python, C
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for manufacture. Knowledge of FPGA development and hardware description languages such as SystemVerilog or VHDL, with experience in simulation, synthesis, and implementation considered highly desirable
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activities will be developed in the Power Electronics area, focusing on programming control algorithms on a Xilinx FPGA. This project aims to implement internal fault tolerance in a power electronics
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development proposals and funding bids. The successful candidate will have significant prior experience of: power semiconductor switching converters such as oscilloscopes programming MicroSemi FPGAs in
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software and hardware (knowledge on working with FPGAs and ASICs will be preferred). Achievement of the expected progression within Post Doc and Senior Post Doc is transferable between the Irish HEI’s
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project. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power
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manipulation of ultracold gases. Examples include basic electronics, development of FPGA devices, development of narrow-linewidth lasers, laser frequency stabilisation and control, image analysis, data