327 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" research jobs in Hong Kong
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completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html
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promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for the following post: Research
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promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for the following post: Research
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promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/ . Applications are now invited for the following post: Postdoctoral
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, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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, and quantitative spatial equilibrium in Hong Kong”. They will be required to conduct rigorous theoretical or empirical studies, including desktop research, model simulation, data sorting, geo mapping
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experiments on ancient silk artefacts; (b) perform multi dimensional characterisation of silk artefacts and simulated samples, ensuring compliance with laboratory protocols and data traceability; (c
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(b) be proficient in data programming for data collection, textual analysis (Python, Stata or SAS) and English reading. Applicants are invited to contact Prof. Lisa C. Z. Sun at telephone number
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis