Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- RMIT University
- Monash University
- The University of Queensland
- University of New South Wales
- Curtin University
- University of Adelaide
- The University of Western Australia
- Macquarie University
- Queensland University of Technology
- Swinburne University of Technology
- University of Southern Queensland
- Flinders University
- Nature Careers
- UNIVERSITY OF MELBOURNE
- University of Melbourne
- Amgen Scholars Program
- Australian National University
- CSIRO
- Central Queensland University
- Edith Cowan University
- Federation University Australia
- La Trobe University
- UNIVERSITY OF WESTERN AUSTRALIA
- University of South Australia
- University of Tasmania
- 15 more »
- « less
-
Field
-
visualisation, and programming languages like Python or R, along with understanding of data management and machine learning; exemplary experience and confidence in undertaking all aspects of stakeholder
-
. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
-
skills in R and Python. Demonstrated experience with the handling and maintenance of crops in field-based and controlled environments, and genetic transformation of cereal crops. A strong track record of
-
programming languages such as Python, R, or JavaScript. Integrate geospatial data with other systems and applications through APIs and SDKs. Maintain and enhance existing geospatial processes and workflows
-
and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
-
(hyperspectral, RGB, LiDAR) and high-dimensional data. Experience in programming languages relevant to technical applications, e.g. Python, Matlab, - R and corresponding image-processing software libraries. High
-
experience. Strong coding skills in commonly used scientific languages (e.g. Python, Matlab, shell script, C) Demonstrated experience in performing simulations at the atomic-scale, including density functional
-
development in the following areas: General IT Programming (Python, Java, C/C++, Web) 4/ Demonstrated ability to prepare and deliver programs at undergraduate level, including online delivery, and the ability
-
development in the following areas: Data Communication and Cloud Technologies Programming (Python, Java, C/C++, Web) Software Engineering 4/ Demonstrated ability to prepare and deliver programs at undergraduate
-
various sources. Required knowledge Python programming Machine learning background Image analysis Video analysis