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Australian National University | Canberra, Australian Capital Territory | Australia | about 23 hours ago
, approximate inference, deep learning, or Bayesian optimisation are encouraged to apply. Interpretable Machine Learning for Natural Language – Led by Prof Lexing Xie, this stream applies machine learning
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publish in top-tier Computer Vision and Machine Learning conferences? Do you have extensive experience working with industry on applied projects? Are you a passionate leader with a people-oriented approach
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that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
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, and you will join the research group led by Prof. Christa Cuchiero to work at the intersection of Mathematical Finance, Stochastic Analysis and Machine Learning. The research areas cover a wide range of
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computational methods using network-based analysis, machine learning and dynamic modeling. We are a young, dynamic team at the idyllic Dahlem campus and teach mainly in the Computer Science, Bioinformatics and
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of biosystems and for extracting knowledge from (vast) sets of biotech data. A core technology leveraged by researchers at the center is deep machine learning, targeting the development of innovative tools and
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research Teach courses at bachelor and master level in relevant fields such as artificial intelligence, machine learning, neural networks, computer vision or image analysis and coordinate the teaching
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University Tandon School of Engineering Biomechatronics and Intelligent Robotics Lab led by Prof. Hao Su (http://haosu-robotics.github.io) at NYU Tandon School of Engineering’s Biomedical Engineering (BME
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Goldberg and will contribute to an ongoing EPSRC-funded project titled Optimisation for Game Theory and Machine Learning. The research associate will be based at Oxford and will work with Prof. Goldberg and
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research centers. CADIA provides a collaborative environment where researchers tackle challenging problems in AI, machine learning, and human-computer interaction. The center offers regular seminars