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, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep Learning Video Understanding Multimodal AI Excellent programming skills in
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, microplastics; by means of numerical and experimental approaches including high-performance computing, data science methods via machine learning/AI and digital twins, enhancement, development and of application
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Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position that aims at transforming flow field measurements into aerodynamic forces by pressure and friction
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., Reinforcement Learning in Different Phases of Quantum Control, Phys. Rev. X 8, 031086 (2018). [8] J. Biamonte et al., Quantum Machine Learning, Nature 549, 195 (2017). [9] E. Célanie, L. Delisle, and A. Jaouadi
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or an equivalent qualification to have a PhD degree to have a very good command of English to have scientific interests related to Artificial Intelligence and Machine Learning to have outstanding
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Further develop existing courses or develop new courses and learning formats in human-machine interaction, human-centred design and the design of safety-critical systems Conduct research at a high
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demonstrate how innovative methodologies can generate new knowledge within art history. Relevant topics may include, but are not limited to: Artificial Intelligence and Machine Learning in Art History Museums
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industry-connected learning through placements, FUSECo projects, Industry Honours and Masters projects, Enterprise PhDs and other industry opportunities. Lead and grow industry engagement capability by
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student-centred learning improvements. Experience developing and leading high-quality research projects, attracting external research funding, supervising higher degree by research candidates, and building
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. We are seeking a candidate motivated to explore the how emerging technologies – such as machine learning, generative AI, and extended reality (XR) – impact societal preparedness planning required