Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- RMIT University
- Curtin University
- University of Adelaide
- Monash University
- Queensland University of Technology
- Swinburne University of Technology
- The University of Queensland
- University of New South Wales
- Australian National University
- Central Queensland University
- Federation University Australia
- Flinders University
- 2 more »
- « less
-
Field
-
modelling, simulation tools such as COMSOL, and programming in MATLAB, Python, or C++. You'll be part of a supportive environment that values creativity, technical excellence, and impactful research. By
-
: Conduct research on bubble-particle interactions in flotation across molecular to industrial scales using advanced modelling tools like CFD, Matlab, and experimental techniques such as AFM and XCT
-
languages (e.g., Julia, Matlab, C#, C++) Familiarity with the applications and theory of environmental genomics Qualifications: A PhD in quantitative ecology, quantitative conservation biology, applied
-
mathematics or computer science Must have programming skills in programming languages such as Matlab and Python Preferably have a proven track record of good publications in mathematics or computer science
-
in an applied engineering environment. Desired skills Excellent mathematical and programming skills, including experience creating effective code in Python, R and Matlab. Knowledge of chemistry and
-
of simulation skills in MATLAB/Simulink or equivalent. As a Research Fellow you will possess: experience in hardware design, development and testing experience in power electronic converters; knowledge and
-
equations, and numerical methods. Advanced programming skills in languages such as Python, C++, MATLAB, or R. Strong academic curiosity and enthusiasm for the chosen research area. Application Process To
-
, statistics or mathematics. Demonstrated proficiency in at least one analytics scripting language (such as R, Python, Julia, MATLAB). Demonstrated ability to write packages/modules and distribute via CRAN/PyPI
-
MATLAB is required. Also, a strong knowledge of Bayesian statistics and the design of experiments are required. In this sense, the selection committee will be looking for at least one Bayesian analysis
-
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