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science, and educators to advance learning. We are proud to be part of progress, working together with the communities we serve to share knowledge and bring greater understanding to the world. For more
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and innovative learning initiatives. Senior Assistant Professor A PhD or equivalent doctoral qualification in a relevant discipline. Demonstrated track record of research excellence and sustainable peer
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from different fields: AI (machine learning, big database, etc) Semiconductors
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical
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applications for faculty positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics
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Economics, Mathematical and Computational Biology, Theoretical Ecology), Statistics, Machine Learning and Data Science, and Theoretical Computer Science are especially encouraged to apply. The School has
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quantitative field. Strong background and expertise in data science, bioinformatics, network science, artificial intelligence, machine learning, deep learning, or related areas. Solid understanding of AI
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, networks and communication systems, theory of computation, computing paradigms, AI and machine learning, numerical computing, and applied computing. In particular, beyond surveying individual fields and
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Science, Computer Engineering, Electronic Engineering (or related disciplines). A strong record of research quality, commensurate with career stage in AI, including but not limited to: machine learning, deep learning
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, convolutional and recurrent architectures, and transformer-based models, as applicable to biological, imaging, and multimodal data Hands-on experience with machine learning and deep learning frameworks (e.g