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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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Mathematics, Applied Mathematics, Statistics, Applied Statistics, Probability Theory, Operations Research, Control, Information, Remote Sensing, Big Data, Artificial Intelli Appl Deadline: (posted 2024/10/08
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, experience of teaching large groups of learners, will be familiar with using a VLE such as Moodle to support teaching and with using Microsoft Teams for teaching remotely. The successful candidate will be
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• Topology • Operations Research and Control Theory • Dynamical Systems • Geometry and Mathematical Physics Statistics • Data Science and Big Data Technology We offer: • Competitive start-up package and salary
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Zhejiang Province), and Data Science and Big Data Technology. Additionally, there is a dual bachelor's degree program in "Information and Computing Science + Automation." Teaching Resources: The school
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develop interdisciplinary programmes in key strategic areas including precision oncology, advanced materials, regional oceanography, artificial intelligence and robotics, data science, cognitive and brain
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. Areas of specialization include space-based earth observation theory and techniques, big earth data science and technology, moon-based earth observation, and sustainable development science. Job
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/ Sensitivity ESSENTIAL QUALIFICATIONS/EXPERIENCE PhD or equivalent degree in epidemiology/biostatistics, public health, AI and big medical data, or a related discipline and ability to demonstrate appropriate
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Operations, Information Management, and Marketing Location: Suzhou Campus Contract Type: Fixed-term, renewable. 3rd contract is open-ended ABOUT XJTLU In 2006 Xi’an Jiaotong-Liverpool University (XJTLU
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Tourism Tourism Big Data Analytics Job Description Successful candidates are expected to contribute significantly to the faculty program development, and will be responsible in duties including teaching
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Physics and Radiation; Atmospheric Chemistry and Aerosols; Ecological Meteorology; Earth System Modeling; Climate Change and Its Impacts and Adaptation; Artificial Intelligence and Big Data for Meteorology