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and hardware security assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and
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assurance for embedded systems by combining advanced side-channel analysis, fault-injection techniques, AI- and machine-learning-assisted analysis, robustness evaluation, and quantitative security assessment
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tasks: The PhysiolASIC project aims to identify and characterise interaction partners of acid-sensing ion channels (ASICs) in the vertebrate central nervous system, and to develop protein-based tools
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, and other relevant channels Participate actively in CLEAR and contribute to seminars, workshops, conferences, and collaborative research activities, including relevant collaboration with the TransLit