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Field
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, micro-CT, particle size analysis, calorimetry, and synchrotron experimental measurement techniques. Knowledge of AI-based and machine-learning methods is also beneficial. For further information about a
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flat interconnect AI compute clusters. Machine learning clusters and artificial intelligence (AI) training have become increasingly popular in recent years. The recent introduction of OpenAI’s ChatGPT
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and facilities in high-performance computing, machine learning and artificial intelligence, human-system interaction, network science, sensing, large-scale structural testing, materials manufacturing
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-constrained systems, extended reality and immersive simulation contexts. Contribute to the department's educational profile and an excellent learning environment in collaboration with colleagues, students and
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well as a wise use of machine learning methods. The candidate should hold an MSc degree in Applied Physics, Electrical Engineering, or the equivalent. The PhD position is firmly embedded in a physics
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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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explore emerging areas including integrated sensing and communication (ISAC), large-scale antenna systems, reconfigurable intelligent surfaces (RIS), near-field communications, machine learning
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researcher with strong skills in artificial intelligence, machine learning, deep learning, and computer vision, with the ability to apply these methods to ultrasound image/video analysis and biomedical data
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Sciences, including physics-informed machine learning, climate and environmental modeling, physics and astrophysics applications, and digital twinning for material design and manufacturing. DS/AI for science
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benchmark chemometric and physics-informed machine learning models to monitor, forecast, and ultimately control critical process parameters, implanting these models in advanced control frameworks to optimize