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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 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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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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technical skills in next generation sequencing, including library preparation and bioinformatics analysis. Experience in developing bioinformatics pipeline and maintaining computer server would be
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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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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
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collaborators and partners Requirements a Ph.D. degree in physics, and adequate postdoc working experience; strong theoretical/computational background in one or more of the following areas: twistronics & moire
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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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Ref.: 532831 Work type: Full-time Department: Faculty of Law (18100) Categories: Senior Research Staff & Post-doctoral Fellow Assistant Research Officer/ Senior Research Assistant in a Research Centre in the Faculty of Law (to commence as soon as possible thereafter, on a two-year fixed-term...
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at Professor/Associate Professor level may be considered for appointment on tenure terms. Applicants should have a Ph.D. degree in Information Systems, Operations Management, Statistics, Computer Science, or a