Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- RMIT University
- Monash University
- University of Sydney
- Curtin University
- Macquarie University
- University of New South Wales
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- University of Adelaide
- ;
- ADELAIDE UNIVERSITY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Amgen Scholars Program
- Queensland University of Technology
- Swinburne University of Technology
- The University of Queensland
- University of Melbourne
- University of Tasmania
- 7 more »
- « less
-
Field
-
, decision-making processes, and even democratic institutions. Large language models (LLMs) have shown tremendous potential in natural language understanding and generation. This research aims to harness
-
knowledge program analysis, fuzzing, software testing, natural language processing
-
. This is a challenging problem as it spans a wide range of topic and contextual domains. Moreover, such language processing must deal with slang, foreign words and passages, localised dialects, unpredictably
-
project. Apply established and emerging analytical methods, including spatial analysis, natural language processing and machine learning, under the guidance of senior academic staff. Contribute to scholarly
-
Learning. Conference on Empirical Methods in Natural Language Processing (EMNLP'20). Hua, Yuncheng; Qi, Daiqing; Zhang, Jingyao; Qi, Guilin; Li, Yuan-Fang. Less is More: Data-efficient Complex Question
-
schemes Access to state-of-the-art facilities and resources including gym and library A vibrant and diverse campus life and more! English proficiency requirement English is the language of teaching and
-
relevant Doctoral qualification in Computer Science, Information Technology, Software Engineering, or relevant disciplines. 2. Minimum 3 years of teaching experience in English-speaking universities. 3
-
generation. Results will improve understanding of hydrogen generation sources and mechanisms, helium production and migration/ accumulation in the system, contributing to Australia's emerging natural hydrogen
-
experience in English-speaking universities. 3/ Proven teaching proficiency and curriculum development in the following areas: Fundamental Engineering (background from Software Engineering / Computer
-
expertise in areas including, but not limited to: Computing & Technology: Fundamental Engineering, Cybersecurity, Computer Networking Aviation & Aerospace: Aviation management, aviation safety, airport