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captioning. Development of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods and theory. Development of computer vision methods
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: Possess a PhD degree in computer science, electronic engineering, applied mathematics, perception sciences, etc. Background knowledge in signal/data compression, and data-driven and machine learning
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analyses (e.g., multi-level analyses, network analyses, and machine learning); (4) Oversee the general management of the project; (5) Provide administrative and secretarial support to
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mathematics learning and well-being. Requirements: A Masters or equivalent degree in education, psychology, neuroscience, learning environments or a related field. (Candidates with a PhD may be considered for a
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data mining. Students will learn about various machine learning techniques involved, and data mining software and tools. They will also get to apply data mining to complex data types. The preferred
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with the ability to articulate ideas with data Some knowledge of at least one of the following scripting/programming languages: Python, R, Java, C++, C#.Net, SQL Knowledge of machine learning techniques
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candidates will have a Masters and/or PhD in Computer Art, or Interface Design, or Game Design or Web Development and record of accomplishments and past teaching experience at undergraduate level. Preference
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testing in wafer fabrication, packaging, assembly and test Experience in emerging applications of machine learning and data analytics solutions for semiconductor manufacturing Preferred to have a PhD (in
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of high-gain antennas and apply prior-knowledge for machine-learning enabled-synthesis. The applicant will report their research achievements at prestigious journals and conferences. The applicant shall
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. Develop algorithms for continuous knowledge transfer and compositional reasoning to facilitate efficient learning of new tasks. Help supervise PhD, master and undergraduate students. Job Requirements