Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
science support, to the way we design our world–class facilities, we are committed to developing a culture of inclusivity and respect. Our determination to provide an outstanding service helped NTU secure
-
that inspire students’ learning and development, and provide the skills and knowledge needed to build a highly successful creative career. Launching in 2024, the Design & Digital Arts building will the beating
-
perspectives and deepening our understanding of the world. Our courses are built on the ethos of developing intellectual and practical skills, adding value to students’ employability and providing an outstanding
-
programme in Media Communications with Communication University of China (CUC). You will be aware of emerging contemporary issues of particular significance for the future development of the journalism and
-
developing and analysing data from an app that allows mobility scooter and powerchair users to log “Near Miss” experiences. Create, disseminate and evaluate road safety guidance for motorised mobility users
-
science support, to the way we design our world–class facilities, we are committed to developing a culture of inclusivity and respect. Our determination to provide an outstanding service helped NTU secure
-
the course is designed to develop these talents to ensure that our graduates leave us with unique combinations of knowledge, skills and attributes that are aligned to the contemporary art world now and
-
addition, you will have strong communication, organisation and prioritisation skills and the ability to work as a team to continually develop and evaluate this innovative service. A commitment to diversity
-
Overview Climate change is a global threat to humanity today. Many models have been developed to predict global warming and Greenhouse gas emissions, with one example being the EN-ROADS climate
-
Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
strong effects on guest binding, diffusion and even the dynamic behaviour of the entire MFM. In this project, funded by the Leverhulme Trust, we will develop a machine learning platform to describe