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cancer research, with a particular focus on developing computational methods to analyze imaging and clinical data in patients with liver cancer Position Overview Machine learning and deep learning applied
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support for the lab Job Requirements: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in world model, computer vision and deep learning
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, adapting or evaluating machine-learning or deep-learning models. You should also have experience of organising datasets, conducting computational experiments and interpreting quantitative results. Working
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imaging datasets, electrophysiology datasets or video data) is highly desirable. Proficiency in popular deep learning, computer vision and/or user-interface software frameworks (such as Pytorch, TensorFlow
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to the development of privacy-preserving indoor localization methods using multi-modal deep learning, the design of wearable multi-sensor navigation devices, and the creation of datasets for indoor trajectory
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Job Summary: The Ecological Approaches to Social Emotional Learning (EASEL) Lab, led by Professor Stephanie M. Jones, seeks a full-time Research Assistant to support our team in the Human Development
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Job Summary: The Ecological Approaches to Social Emotional Learning (EASEL) Lab, led by Professor Stephanie M. Jones, seeks a full-time Research Assistant to support our team in the Human Development
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Ecological Approaches to Social Emotional Learning (EASEL) Lab, led by Professor Stephanie M. Jones, seeks a full-time Research Assistant to support our team in the Human Development and Education Program at
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will work closely with other members of a small research team and play a key role in: • Conducting research on China-related topics and producing in-depth analytic memos, eventually building deep