Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
. Requirements A Ph.D. in data science, statistics, psychology, public health, social sciences, or related disciplines. Proficiency in statistical analysis, data mining, predictive modeling, and machine learning
-
attached to the socio-cultural environment of the Chinese and English languages. The appointee will be required to teach courses in some of the following areas: Computer-aided Translation, Public Relations
-
of English and good communication skills. Preference will be given to those with relevant teaching experience in tertiary institutions, or knowledge of data analytics, machine learning as well as accounting
-
advanced digital methods, big data analytics, machine learning, generative AI, large foundation models, embodied and agentic AI to address global challenges in the built environment would be advantageous
-
closely related data-analytics discipline. The Faculty is particularly interested in those who conduct high-quality scholarly research and are able to teach courses in business analytics, machine learning
-
debriefing; developing pedagogical approaches and materials to cater for the learning diversity of multicultural students; promoting learning and teaching (L&T) with assessment data; sharing school-based
-
Service-Learning and Leadership Office Project Associate / Project Assistant (Ref. 250521001) [Appointment period: six months] Duties The appointee will assist the project leader in the research
-
, proactive facility management, building/city health check, and next-generation BIM and digital twins. Having expertise in leveraging advanced digital methods, big data analytics, machine learning, generative
-
data science, statistics, psychology, public health, social sciences, or related disciplines. Proficiency in statistical analysis, data mining, predictive modeling, and machine learning algorithms
-
disciplines spanning digital media art, animation, film, photography, and computer games. The School bridges the boundaries between art, technology, and computer science, and between traditional and new media