69 parallel-computing-numerical-methods-"Prof" positions at THE UNIVERSITY OF HONG KONG
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Policy, Social Work, or related disciplines. They should have strong knowledge and skills in statistical methods and quantitative research, as well as excellent academic writing skills. Candidates must
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are not limited to, digital project engineering and management, construction informatics, construction robots and automation, digital transformation, digital heritage conservation, safety management
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initiatives at SWIMS. The ideal candidate will have expertise in IoT, sensor development, ecological monitoring, and advanced ecosystem imaging methods such as photogrammetry. The officer will collaborate
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independently and as a team. Knowledge and experience in using mixed research methods are highly preferred. A strong publication track record on peer-reviewed academic journals and research grants will be
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adequate knowledge of quantitative research methods, as well as a good command of written English. Experience and passion in research topics of palliative and end-of-life care and public health will be
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into significant questions about present and future urban problems and their solutions facilitated by the advances in data science, GIS methods, urban sensing and robotics. Duties and Responsibilities The appointee
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. The appointees will teach courses of the Master of Arts in Creative Communications (MACC) Programme related to Social Media, Branding, and Marketing or other relevant fields of specialization. The MACC is a full
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. Qualifications and Experience possess a PhD in Computer Science, Robotics, Mechatronics, Biomedical Engineering, or a related discipline; demonstrate strong programming proficiency in C++ and/or C#, with a solid
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will teach courses offered in the BSc Programme in Information Management. They will also be required to assume administrative duties, such as attending examiners’ meetings, as appropriate. More
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well as an excellent command of written and spoken English. Preference will be given to those with experience of teaching and research in computational social science, social data analytics, population studies