Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
-based incentives and research productivity bonuses for high-impact research achievements are uncapped. National Talent Program Recipients will qualify for elevated compensation packages. Fast-tracked
-
degree (MA/MSc) or higher in TESOL, Applied Linguistics, English Language Teaching, or a related field; a PhD is preferred. A recognized teaching qualification (if not part of the degree), such as TEFL
-
. The successful candidate will be expected to contribute to teaching, curriculum development and supervision within the MA TESOL programme, as well as providing wider supervision for our growing numbers of EdD/PhD
-
programme, as well as providing wider supervision for our growing numbers of EdD/PhD students. The successful candidate will also be expected to take a lead role in collaborative research projects, as
-
PhD degree in theoretical physics or related subjects. Eligibility: Candidates of all nationalities are welcome to apply. The working language is English. Duration: 2 year with possibility of extension
-
unprecedented growth and development, UM offers a wide range of opportunities for high-calibre talents at all levels to achieve their career goals. It may be noted that English is the working language and the
-
: PhD or equivalent degree in Computer Sciences, Bioinformatics, Mathematics, or a related discipline and ability to demonstrate appropriate teaching experience/potential in the core areas of AI
-
Project title Multi-Modal Large Language Model for Medical Image Analysis Research period 2 years Abstract The proposed research project aims to develop a novel multi-modal large language model (MLLM
-
research team Team player and strong collaborator Positive attitude and energy Diversity / Sensitivity ESSENTIAL QUALIFICATIONS/EXPERIENCE: PhD or equivalent degree in Computer Sciences, Bioinformatics
-
Biosciences to help support our academic programme/research growth and development in this area. Ideal candidates will demonstrate a track record of impactful research contributions in one or more of the