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or development of machine learning methods, or a desire to learn these skills, are also welcome. We offer the opportunity to work on interesting scientific challenges using modern experimental methods available in
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on the use of Machine Learning algorithms for rapid damage assessment. Research topics could focus on: the definition and use of novel damage sensitive features, physics informed machine learning, transfer
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disorders. Expertise in human immunology, machine learning/AI approaches, and novel functional genomics technologies are also highly valued. The primary criteria for selection will be excellence and
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of laparoscopic surgery and AI assistance for spinal surgery. The Candidates for this stipend should have a background in software engineering or similar and have substantial experience with machine learning. All
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
AI-assisted adversarial attacks. You will work on topics such as cybersecurity, intrusion detection, adversarial machine learning, industrial automation, digital twin technology, and reinforcement
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of computational optimisation, machine learning, and experimental design of new chemistry. You will develop Bayesian optimisation and other active learning approaches for experimental design with a focus on real
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vision, robotics, machine learning and natural language processing (CSRankings) and were 7th in the UK for REF2021 outputs in Computer Science research. CVSSP and Computer Science are at the core of the
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single micro-sphere of frozen water. This bulkiness presents a significant limitation, and the emission has no directional control. This PhD thesis will build on a decade of research into novel laser
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and machine learning models Proficiency in coding using Python Knowledge of biomechanics and computer vision is a plus Experience in the following skills is a plus: (1) biomechanics software (e.g
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Internal Number: 6483018 Assistant/Associate/Full Project Scientist - Machine Learning & Data Analytics Advanced Bioimaging Center Department of Molecular and Cell Biology Position overview Position title