89 parallel-computing-numerical-methods-"Simons-Foundation" positions at THE UNIVERSITY OF HONG KONG
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, fluent in written and spoken English, and competent in basic computer database management. Familiarity or experience with gene sequencing or gene manipulation will be an advantage. The appointee will be
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the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree in Bioinformatics/Computational Biology, or a related discipline, with extensive
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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
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funding availability. Applicants should possess a doctoral degree in Biomedical Sciences, Medical and Health Sciences Education, Computer Science or a related discipline, with a keen understanding of the
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for teaching a compulsory course themed at “The Chinese Economies” for the Master of Arts in China Development Studies (MAChDS) programme. Requirements Applicants should possess a Ph.D. degree in geography
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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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research programme, and be responsible for teaching courses and supervising students at both graduate and undergraduate levels, as well as contributing to the administration of academic programmes. A highly
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analysis, and proficiency in statistical and computer modelling software (e.g. R, Python, Matlab, and C++) would be advantageous. The appointee will work with a research team to study the methodologies
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research spanning three key themes: Geospatial Data Sciences (e.g., remote sensing, geographic information science - GIS), Environmental Change & Sustainability, and Cities, Culture & Society. The
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funding. Requirements A PhD degree in a relevant discipline (e.g., civil engineering, computer science, AI, architecture, or related fields); A strong publication track record; Experience with Building