Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- RMIT University
- University of Adelaide
- Monash University
- Curtin University
- The University of Queensland
- University of Sydney
- University of New South Wales
- Amgen Scholars Program
- Australian National University
- Macquarie University
- Queensland University of Technology
- Swinburne University of Technology
- UNIVERSITY OF ADELAIDE
- University of South Australia
- University of Tasmania
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Flinders University
- Nature Careers
- University of Melbourne
- University of New England
- Victoria University
- 11 more »
- « less
-
Field
-
biology and biochemistry. Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience. A strong work ethic, and the ability to work well independently, and
-
independently as well as an effective member of a multi-institutional team Demonstrated high level of written and oral communication skills, with excellent interpersonal skills. Excellent computer literacy
-
, including in: Software Engineering Cybersecurity Distributed Computing Digital Health Search and Recommendation Human-Computer Interaction Artificial Intelligence and Natural Language Processing Data Science
-
This project aims to employ advanced machine learning techniques to analyse text, audio, images, and videos for signs of harmful behaviour. Natural language processing algorithms are utilized
-
with both academic and non-academic stakeholders. Capacity to manage research activities in coordination with Professor Cassey and the wider team of researchers at the Wildlife Crime Research Hub
-
or natural-language processing. Qualifications – PhD (or equivalent) in IT, Data Science, AI or a related field. GenAI expertise – Hands-on experience with LLM APIs, Retrieval-Augmented Generation and prompt
-
knowledge, skills and minimum of 5 years' experience with a commitment to ongoing professional development. Proficiency in programming languages including Python, JavaScript. Experience with Natural Language
-
membrane fuel cells, batteries, and other renewable energies, PCFCs offer distinct advantages, including fuel flexibility, the absence of precious catalysts, noise-free operation, and no regional/seasonal
-
collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
-
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