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Department of Intelligent Science: Natural language processing, Machine translation, Information extraction, Machine learning, Computer vision, Pattern recognition. Informal enquiries about the positions and
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analysis User interface design Statistics Machine learning, natural language processing and computer vision Information management Computer security Computer networks Research methods in computing science
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University, the continued development of the four new Academies, and the exploration of further potential locations to develop the SE model. With a focus on innovative learning and teaching, and research
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Xi’an Jiaotong University, the continued development of the four new Academies, and exploration of further potential locations to develop the SE model. With a focus on innovative learning and teaching
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& Catalysis 3. Energy-saving Materials and Technologies 4. Sustainable Exploitation & Utilization of Resources 5. Cycling and Purification of Key Elements 6. Carbon Capture, Utilization, and Storage 7. Machine
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of these programming languages is welcome)- Machine learning experience is valued- Multiphase flow and heat/mass transfer.- Programming and algorithm development.- Excellent communication skills and fluency in written
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Economics, and Machine Learning Location: Suzhou, China Contract Type: Fixed-term, two-year contract (2024/25-2026/27) About Postdoctoral Programme The postdoctoral programs at XJTLU are jointly run by
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Teaching Fellow/Senior Teaching Fellow in Department of Intelligent Operations and Marketing of IBSS
exploration of further potential locations to develop the SE model. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal
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Engineering, Computer Science, Artificial Intelligence, Computer Vision, Mobile Robotics, Machine Learning, Data Science and Analytics. ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU
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Networks BNU-UIC Institute of Artificial Intelligence and Future Networks is currently composed of famous computer/IT scientists (including IEEE Fellows, academicians and other leading professors), aiming