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algorithms. Strong programming skills in Python and/or R. Experience in analyzing both quantitative and qualitative research data. Experience in statistical consulting, dashboard development, and data
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Science; Software Engineering; Systems & Networks; Extended Reality (XR), AR/VR, and Immersive Technologies Security / Digital forensics; Algorithms. Supervise final year projects and capstone projects
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data science, statistics, psychology, public health, social sciences, or related disciplines. Proficiency in statistical analysis, data mining, predictive modeling, and machine learning algorithms
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, mechanobiology, biophysics, bio-inspired or bio-mimicking devices and algorithms; or advanced technologies such as those for advanced bio-manufacturing, diagnostics and advanced therapeutics, in relation
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independently and in a team. Priority will be given to those who have solid research experience in the field of education. The appointee will assist the Lead Researcher to conduct landscape research and multiple
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or related social sciences disciplines, especially good command of Python and R language for various social sciences/humanities applications. The ideal candidate will be able to assist in multiple courses
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, Adjunct Assistant Professor, and Part-time Hourly-paid Lecturer in the Division of Landscape Architecture (multiple openings) (Ref. 532383). Appointments will begin in mid-August 2025 for a duration of one
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Health or other related disciplines with at least 2 years of post-bachelor's work experience. Previous work experience in big data analysis, managing large databases of multiple research projects relating
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multiple sectors; and establishing and managing studies involving colleagues from different disciplinary backgrounds may be favourably considered. The appointee will undertake teaching responsibilities, and