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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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. Knowledge of and experience in Quality Assurance processes including accreditation requirements of professional bodies, and understanding of approaches to quality enhancement. Strong computer skills
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of and experience in Quality Assurance processes including accreditation requirements of professional bodies, and understanding of approaches to quality enhancement. Strong computer skills, including a
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. Strong computer skills, including a high degree of facility with the use of all Microsoft applications and the use of Web 2.0 technologies for educational purposes using a VLE (Moodle preferred). A Masters
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well as extensive transferable skills in communication, teamwork, and project management. Areas of expertise in the Department of Computing: Computer Science and Software Engineering, Computer Graphics and Animation
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to baryogenesis and dark matter, quantum chromodynamics and lattice gauge theory, effective field theory, and nuclear astrophysics. Group members include Profs. Jason Evans, Shao-Feng Ge, Sophia Han, Hong-Jian He
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Preference will be given to candidates with teaching experiences about Biochip/Fluid mechanics /logic design /computer programming /Electronics /Mechanical manufacturing Engineering mathematics /Statics
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technology, or applied computer sciences such as social computing, human-computer interaction, instructional design, etc.; Or Master’s degree in the relevant fields with outstanding achievements and
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education, educational technology, or applied computer sciences such as social computing, human-computer interaction, instructional design, etc.; Or Master’s degree in the relevant fields with outstanding
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of expertise in the Department of Communications and Networking: Wireless communications, Optical communications, RF engineering, Sensor networks and IoT, Computer system security, Mobile Computing, Cloud
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, China [map ] Subject Areas: Physics / Atomic Molecular and Optical Physics , artificial gauge fields , Cold Atom Physics , Condensed Matter Theory , Machine Learning , Quantum Hydrodynamics , Quantum