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
-
modelling and simulation of complex systems reinforcement learning or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging
-
) Proficiency in R and/or Python programming for data analysis Strong written and verbal communication skills, including scientific writing Demonstrated previous experience and competency in the management
-
) and effective scientific communication proficiency in one or more coding languages (e.g., Python, R, Matlab, or equivalent) strong interpersonal skills and the ability to work collaboratively within a
-
to molecular data. Strong knowledge of quantum, medicinal chemistry principles and chemical representations; familiarity with physics-informed ML and drug discovery is necessary. Proficiency in Python and deep
-
or graph neural networks proficiency in Python and related computational toolchains a strong interest in interdisciplinary research bridging project governance, systems thinking, and intelligent control
-
such as for example Superconducting Quantum Interferometers and Cavity Magnonics Interferometers. Ability to maintain and develop tools for more advanced experiments by using Python, MATLAB, COMSOL and
-
support systems. To be 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
-
confidence and a proven track record using common coding languages (e.g., Python, Matlab, Fortran) expertise and a publication track record in numerical geoscience modelling, such as, but not limited to plate
-
Postdoctoral Research Associate in Global Environment Modelling of Soil Organic and Inorganic Carbon
and/or Python and/or C++ familiarity in the use of supercomputers in the unix environment - preferred but not essential a developing research profile evidenced by original, high-quality and independent
-
experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals