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machine-learning techniques; interpretation of multimodal patterns of brain organisation; collaboration with international partners in alzheimer prevention; contribution to methodological innovation in
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Intelligence (AI) and machine learning. We seek a scholar with interests and expertise in advancing the science and applications of Remote Sensing, who is also enthusiastic about incorporating AI-based and data
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your work at international conferences. Supervise motivated PhD candidates and contribute to the research community. Shape the next generation of AI talent (50%) Teach engaging courses in AI, machine
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are not limited to): Machine learning and artificial intelligence applied to astronomical data Advanced statistical and probabilistic inference methods Scalable algorithms for the analysis of large
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layers across heterogeneous platforms. Ideally you would have familiarity with deploying or supporting AI and machine-learning workflows, including large models, large network analytics, or multimodal data
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an accurate overview of the state of the art (intersection of urban planning, VR experiments, digital twining, big data and machine learning) and recent developments in this field of study in academics and
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, and prototyping. Lead education with workshop tools and machines. Lead the academic aspects of operation and management of the engineering technical learning spaces in collaboration with the laboratory