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Field
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topics include (a) AI, machine learning, and large language models for measurement challenges (e.g., for small-sample calibration or for accelerated algorithms), (b) identifying and investigating aberrant
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research team. Key research areas include: Development of low-carbon materials and tunable thermal energy storage materials integrated with smart sensors and advanced algorithms Creation of Digital Twins
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HDLs. Sound knowledge of cryptographic algorithms and secure hardware design principles. Experience with ASIC design methodologies and open-source IC design tools, particularly OpenLane. Evidence of
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/condensed matter physics Development of quantum algorithms Application of computational chemistry in applications related to decarbonisation Understanding technological and computational challenges associated
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, and computer graphics, to identify existing research, methodologies, and advancements. Designing and developing innovative algorithms, models, and techniques for solving complex problems in computer
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* The candidate will: Benchmark/validate/adapt radiation dosimetry algorithms developed at Michigan and by industry collaborators. Develop code for data analysis. Perform patient specific dosimetry calculations and
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of the designed algorithms and systems. Help with research presentation works such as high-quality paper writing. Job Requirements: Preferably PhD’s degree in Computer Engineering, Computer Science, Electronics
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scholarship holder will contribute to several research activities, including: - Design and implementation of event-based data compression algorithms, including lossy and learning-based approaches. - Development
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quality of water stored therein; b) calibrate and validate models or algorithms based on spectral signatures, associated with in situ validation campaigns; c) extract indicators of spectral signatures
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capacity to process complex simulation data, fine-tuning its interpretation algorithms, and ensuring that gap-filling recommendations are both biologically plausible and supported by external resources