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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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, Interdisciplinary Fields 3. Statistics: Machine Learning, Big Data Analysis III. Recruitment positions: Senior Positions (Top and Leading Talents), Junior Positions (Young Talents, Post Doctors) 1.Top Talents
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particle physics or related areas prior to the time of employment. Preferences will be given to those with experiences in collider phenomenology, machine learning, effective field theories, positivity bounds
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and Applications, R Language for Statistics, Data Mining with Big Data, Artificial Intelligence and Deep Learning, Statistical Reasoning for Business Decisions, Data Visualization; Highly Desired: Text
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for future colleagues in all fields of computer science, data science, artificial intelligence, machine learning, deep learning, computer vision, natural language processing, biocomputation, nerual networks
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Executive Education. Moreover, we strongly encourage cross-disciplinary teaching, learning and research both within the University and internationally to enhance innovation and career development for our
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encourage cross-disciplinary teaching, learning and research both within the University and internationally to enhance innovation and career development for our students and academics alike. Our programmes
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in English, academic, and global skills learning. The ELC seeks to achieve its goals through the provision of courses in English for academic purposes, a writing centre, co-curricular language learning
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positions, tenured positions, and positions for distinguished professorship. Candidates in areas including, but not limited to, Quantum Algorithms, Quantum Machine Learning, Quantum Key Distribution
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in the research and teaching area of Power Electronics, Machines and Drives. The role holder will be expected to contribute to teaching and curriculum development for undergraduate and postgraduate
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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