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
-
a member of a broader team, including with industrial partners Programming experience and expertise in Python and/or Matlab and/or C++. The candidate will be working on Signal Processing/Control Path
-
developing scientific software (using any of these languages/libraries: Python, Julia, C++, C, Fortran, Matlab, Fenics/FeniX, MFem, deal.II, libMesh, PETSc, Trilinos, Pytorch, TensorFlow, Jax, Keras, Pandas
-
essential. Excellent organisation and problem solving skills are expected and experience in data wrangling, processing and visualisation using R or Python would be advantageous but not essential
-
with Python or C. Solid understanding of linear algebra, calculus, and probability theory. Strong background in machine learning and deep learning is highly preferred. The ideal candidate will have
-
(e.g., C++, Unity, Python) a background or interest in human-computer interaction, gender studies, and/or construction familiarity with qualitative and quantitative research methods. How to apply We
-
techniques. It may also include hardware development of wearable assistive devices that use audio and haptic feedback. Required knowledge Image processing Computer vision Deep learning Programming (Python, C
-
Learning, Dynamical systems theory or knowledge of some of the above and willingness to learn other fields. Must have Python, R or Matlab programming experience. Project funding Project based scholarship
-
software applications commonly used in teaching (e.g. Office 365: Word, Excel, Teams, and learning management systems such as Moodle), as well as software packages (R, Python or SAS) Commitment to follow
-
background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants. The student should also know how to program with either Matlab, Java, or Python. Ideally