Sort by
Refine Your Search
-
Department of Language Science and Technology Part-time Project Assistant (two posts) (Ref. 251121017) [Appointment period: each for six months] Duties The appointees will assist the project leader in various projects. They will be required to: (a) assist in project management, data...
-
Department of Logistics and Maritime Studies Research Assistant (Ref. 251027001) [Appointment period: six months] Duties The appointee will assist the project leader in the research project - “A machine learning-enhanced algorithm incorporating domain knowledge for sustainable maritime...
-
Department of Land Surveying and Geo-Informatics Research Associate / Research Assistant (Ref. 251119004) [Appointment period: six months initially, with possibility of further appointment] Duties
-
Department of Land Surveying and Geo-Informatics Research Associate / Research Assistant (Ref. 251119005) [Appointment period: six months initially, with possibility of further appointment] Duties
-
Department of Land Surveying and Geo-Informatics Research Associate / Research Assistant (Ref. 251119007) [Appointment period: six months initially, with possibility of further appointment] Duties
-
Department of Land Surveying and Geo-Informatics Research Associate / Research Assistant (Ref. 251119008) [Appointment period: six months initially, with possibility of further appointment] Duties
-
Department of Land Surveying and Geo-Informatics Research Associate / Research Assistant (Ref. 251119009) [Appointment period: six months initially, with possibility of further appointment] Duties
-
Department of Health Technology and Informatics Research Associate / Research Assistant / Part-time Research Associate / Part-time Research Assistant (Ref. 251111013) (1) Research Associate (2) Part
-
Department of Health Technology and Informatics Project Assistant (two posts) (Ref. 251027009) [Appointment period: each for twelve months] Duties The appointees will assist the project leader in
-
The appointees will assist the project leader in the project - “Advanced computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning