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- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
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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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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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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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: PhD or equivalent degree in Computer Sciences, Bioinformatics, Mathematics, or a related discipline and ability to demonstrate appropriate teaching experience/potential in the core areas of AI
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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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, separation, and catalysis, with a focus on carbon capture and conversion technologies. Artificial Intelligence: Leveraging AI and machine learning to optimize material design and catalysis processes. Carbon
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an integrative and life-long transformative process. RESPONSIBILITIES We are looking for future colleagues who can: Understand and have an entrepreneur and innovative mindset, in line with the ethos
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-design and deliver an enriching educational experience for students. They view education as an integrative and life-long transformative process. DESIRABLE RESARCH BACKGROUND AI for IoT: includes developing