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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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, quantum information, quantum computing. • Proficiency in computer programming matlab, python, mathematica. How to Apply and required documents: • Personal CV • Transcripts in English • Personal statement
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and impactful industrial engagement. Building on continuous success in student growth and sustained advancement of research activities, the college has embarked on a programme of extensive expansion
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frontier research programs in the fields of Condensed Matter Physics, Particle & Nuclear Physics, and Astronomy & Astrophysics. English is the working language at the institute. Further information about the
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UK (University of Liverpool) and Chinese (Ministry of Education) accredited undergraduate degrees. XJTLU is a western-style institution where everything is done in English. XJTLU students’ ambitions
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to conduct vigorous research and perform quality teaching. VAP positions are open to all nationalities, but candidates should be able to teach in English. The teaching load is the same as our regular tenure
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research grants; Fluency in English. Successful applicants to more senior professorial ranks are expected to also show: A significant record of high-quality academic publications, A number of external
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mathematics modules at all levels, as well as the PhD programme. Research interests in the Department of Physics currently include particle physics, condensed matter physics and materials science, dynamical
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/ month. China Social Insurance ( covering Medical Insurance). Starting date: August 2025 Responsibilities: The NUIST-Reading Academy delivers all courses in English. The dual-degree curriculum is designed
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. Successful applicants to more senior professorial ranks are expected to also show: A significant record of high-quality academic publications, A number of external research grants awards, Experience in PhD
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Project title Multi-Modal Large Language Model for Medical Image Analysis Research period 2 years Abstract The proposed research project aims to develop a novel multi-modal large language model (MLLM