Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- RMIT University
- Monash University
- The University of Queensland
- Curtin University
- University of Adelaide
- University of New South Wales
- The University of Western Australia
- Macquarie University
- University of Southern Queensland
- Flinders University
- Queensland University of Technology
- Swinburne University of Technology
- Australian National University
- Nature Careers
- UNIVERSITY OF MELBOURNE
- University of Melbourne
- Amgen Scholars Program
- CSIRO
- Central Queensland University
- Edith Cowan University
- Federation University Australia
- La Trobe University
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Tasmania
- University of Western Sydney
- 15 more »
- « less
-
Field
-
skills with R, C, C++ or Python. Desired: Knowledge or experience with spatial statistics, spatial modelling or GIS; Some knowledge with ecology; Excellent writing and communication skills; Experience with
-
to optimise research outcomes. Advanced Data Cleaning and Analysis: Clean,engineer, prototype, and deploy statistical and machine learning models using Python and/or R to solve complex problems; maintain and
-
analysis and data processing. Strong programming skills in R (preferable) and/or Python, and experience or interest in weather prediction or climate models. Knowledge of machine learning, AI techniques, and
-
and electronics engineering, or computer science. • Have experience in programming languages (e.g. Python) and machine vision and signal processing algorithms. • Practical experience in electronic
-
or demonstrated equivalent competency. Experience working with large datasets, programming languages, and statistical software such as Python, SPSS, R, Stata or SAS. Experience in a research environment, preferably
-
: Programming: Proficiency in languages such as Python, Java, C++, and scripting languages. Network Security: Understanding of network protocols, firewall configurations, intrusion detection systems, and network
-
demonstrate the following knowledge and skills: Proficiency in one or more core programming languages (Python, Java, C++, Swift) Familiarity with Agile Methodologies and Software Development Lifecycle
-
implement machine learning algorithms for complex data analysis. Utilise advanced programming skills (Python, MATLAB, C) and image processing libraries to develop computational solutions. Publish research
-
Learning-related field. Programming experience in Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in deep learning, transformer
-
Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in