Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- University of Adelaide
- University of Sydney
- UNIVERSITY OF SYDNEY
- Monash University
- The University of Queensland
- CSIRO
- Curtin University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- RMIT University
- UNIVERSITY OF ADELAIDE
- UNIVERSITY OF WESTERN AUSTRALIA
- University of New South Wales
- Federation University Australia
- Macquarie University
- Queensland University of Technology
- RMIT UNIVERSITY
- The University of Western Australia
- University of South Australia
- University of Tasmania
- 9 more »
- « less
-
Field
-
large-scale distributed computing systems (e.g. Edge, IoT), evidenced by involvement in several industry projects. Technical Experience: Exposure to Go, Python, Java or equivalent. Experience with
-
science or (applied) machine learning, decision making, and other closely related area. Expertise and experience in computer programming, especially in Python and C++. The path to Adelaide University We
-
data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python), including a sound understanding of FAIR data principles, data management and
-
working with refugee and asylum seeker populations. Strong skills in statistical analysis, manuscript preparation and the use of software such as SPSS, Stata, R or Python are also essential. This is a rare
-
atmosphere models Strong background in mathematics, physics, engineering or related field Experience in scientific computing, including C/C++, fortran, python, or MATLAB Version control and package management
-
experience in python, C++ or other relevant language and experience in deep neural networks Strong mathematical capability, especially for Theme 1, with applicants holding an undergraduate or postgraduate
-
PhD in Computer Science, Engineering or other Machine Learning-related field. • Programming experience in python, C++ or other relevant language and experience in deep neural networks • Strong
-
) An interest in AI/ML and multi-omics integration. Solid background in statistical genetics and computational biology; experience with R, Python, or equivalent programming languages is essential. Passion
-
successful for this position, you'll have: Demonstrated experience in the application of LLM. Demonstrated experience in programming in Python. Ability to learn new technology and new tools rapidly. Good
-
classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R