Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Experience in image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed
-
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
-
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
-
utilising applied economics and statistical methods such as structural modelling, causal inference, or machine learning techniques; and (ii) are open-minded and committed to teaching excellence at both
-
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
-
the appointment. The candidates should have a strong track record in at least one of the group’s research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning
-
data science, statistics, psychology, public health, social sciences, or related disciplines. Proficiency in statistical analysis, data mining, predictive modeling, and machine learning algorithms
-
. Knowledge and skills in mathematics, biostatistics, or advanced statistical techniques in clinical research, database management, and machine learning (AI) will be taken into account. They should have
-
of Computer Science has internationally known research groups in a number of areas, including AI and machine learning, cloud and mobile computing, computer system and information security, evolutionary computation