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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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, renewable subject to mutual agreement. Application Procedure Please submit the application via the HKUST/HKUST(GZ) Recruitment System ( https://facrecruit.hkust.edu.hk/ ). You should first sign up to create
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deliver an enriching educational experience for students. They view education as an integrative and life-long transformative process. RESPONSIBILITIES We are looking for future colleagues who can
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, renewable subject to mutual agreement. Application Procedure Please submit the application via the HKUST/HKUST(GZ) Recruitment System ( https://facrecruit.hkust.edu.hk/ ). You should first sign up to create
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Technology (Ministry of Science and Technology, MOST) • Pixel Laboratory at CCNU (PLAC) • Nuclear Science Computer Center at CCNU (NSC3) • Central China Center for Nuclear Theory (C3NT) History: The IOPP
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successful applicant must be able to teach in English as XJTLU’s working and instructional language is English. QUALIFICATIONS: PhD degree or being in the process of completing in relevant research fields
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to the department. He/she will oversee the quality assurance process of teaching and assessment, provide faculty development guidance and assess performance criteria as well as direct the department’s external
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postdoctoral fellows, who will be interested in one of the following topics: 1) Theoretical condensed-matter physics 2) Quantum information processing 3) Strong light-matter interactions Requirements: PhD in
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experiment. The group is particularly interested in the detection of solar neutrinos, solar axions, and light dark matter. About the Position: The successful candidate will play a key role in the operation and
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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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unified framework that can understand and generate human-like text while simultaneously processing and analyzing medical images. The model will be trained on a diverse dataset of medical images and