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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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- CITY UNIVERSITY OF MACAU
- UNIVERSITY OF MACAU
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- Beijing Normal-Hong Kong Baptist University (BNBU)
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- University of Chinese Academy of Sciences (UCAS)
- University of Nottingham Ningbo China
- Xi'an Jiaotong - Liverpool University
- Bath Spa University;
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- European Magnetism Association EMA
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- MASSEY UNIVERSITY
- Shanghai Institute for Mathematics and Interdisciplinary Sciences (SIMIS)
- Sun Yat-Sen University
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- UNIVERSITY OF WAIKATO
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- University of Science and Technology of China (USTC)
- Xi'an Jiaotong University
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. The department has focused research areas in financial mathematics, actuarial science and risks, AI and data science, and statistics and probability. The department also provides PhD degree education in
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. Fresh PhD graduates are encouraged to apply. The candidates are expected to: Carry out novel research and publish results at top conferences/journals. Contribute to supervision and training of graduate
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students studying in both Suzhou and Liverpool in the UK. There are currently about 2,500 staff, including more than 1,300 academic staff from over 60 countries. XJTLU offers our undergraduates and
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department is involved in the delivery of undergraduate physics and mathematics modules at all levels, as well as the PhD programme. Research interests in the Department of Physics currently include particle
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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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students in research. Essential Qualifications / Experience All applicants must have: A PhD in Physics, Astronomy, or a closely related discipline; Postdoctoral research experience or equivalent academic
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sequencing approaches, we detect and characterize them by applying and developing novel tools using molecular biology, bioinformatics and mass spectrometry. By studying modifications that can encode additional
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space, and cultural support, as required. QUALIFICATIONS Education: Master’s degree in relevant discipline; PhD preferred Language Skills: Demonstrated language skills in English; strong verbal, written
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of mathematics, including applied mathematics, data science, pure mathematics, statistics and financial mathematics. Applicants should have a PhD degree and strong experience in research and teaching. Applicants
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written report of activities and feedback for TRU Gaglardi. Each course is a 40 - hour delivery and will be taught in English in a 4-week compressed format with support from an assigned SIT faculty member. Moodle