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interaction Design algorithms for dialogue systems Integrate commonsense knowledge representation and reasoning in the system Job Requirements: Possess a PhD in Computer Science or related disciplines Strong
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, training of student researchers and outreach Job Requirements: PhD degree chemistry, Earth and/or environmental sciences, materials science Evidence of published output in relevant scientific literature
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of research staff. Mentor junior researchers and support staff, fostering a culture of learning and professional growth. Collaboration and Partnership Building: Cultivate relationships with academic, clinical
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applied artificial intelligence (e.g., data analytics and transfer learning) for battery management for rugged systems that lead to publications in top-tier international conferences and journals, as
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complex systems is preferred. Qualifications 1. PhD in Photonics or Physical Optics 2. Hands-on expertise on complex photoelectric medium design. Specifically, photonic structure design & fabrication
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Environmental Engineering and the Department of Industrial System Engineering and Management. The research project aims to develop data-driven and learning-based methodology frameworks for urban mobility
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traveltime tomography + full waveform inversion) technologies to image the detailed near-surface subsurface structures from tens of meters to a few kilometers. In addition, machine learning techniques will be
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machine learning conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, etc. The candidate will also help to co-supervise PhD students in the group. Only shortlisted applicants will be notified
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: A PhD in Computer Science or relevant fields; Strong background in machine learning, deep learning and computer vision. Prior experience in 3D vision is preferable. Strong publication records in top
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learning. Help supervise PhD, master and undergraduate students, and R&D staff. Help with federated learning technical platform design and development. Help with collaboration with existing industry partners