27 evolution "https:" "https:" "https:" "https:" "https:" "University of St" positions at HONG KONG BAPTIST UNIVERSITY
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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#privacy-policy . The University reserves the right not
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application materials will be disposed of after 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
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/creative works will be disposed of after 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
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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#privacy-policy
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found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy . The University reserves the right not to make an appointment for the advertised post, and the
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David Parker FRS, Chair Professor in Chemistry (https://chem.hkbu.edu.hk/davidparker ) to conduct high-quality research, and showcase original research accomplishments that have the potential to allow
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) Responsibilities: Initially, the appointee will work closely with Professor David Parker FRS, Chair Professor in Chemistry (https://chem.hkbu.edu.hk/davidparker ) to conduct high-quality research, and showcase
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otherwise requested. 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#privacy-policy
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. Candidates with a strong background in the development of novel models and original methodologies are preferred. Requirements: Applicants should possess a relevant PhD degree with a solid and outstanding track
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original