Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Monash University
- Curtin University
- University of Adelaide
- The University of Queensland
- University of New South Wales
- RMIT University
- Queensland University of Technology
- University of Tasmania
- James Cook University
- La Trobe University
- Australian National University
- RMIT UNIVERSITY
- University of Southern Queensland
- CSIRO
- Macquarie University
- Swinburne University of Technology
- The University of Western Australia
- University of Melbourne
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Amgen Scholars Program
- Charles Sturt University
- Deakin University
- Flinders University
- Murdoch University
- Nature Careers
- The University of Newcastle
- UNIVERSITY OF WESTERN AUSTRALIA
- University of South Australia
- 18 more »
- « less
-
Field
-
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
-
Research Areas and Capabilities: Digital Engineering, Artificial Intelligence (AI) and Human Machine-Teaming Aerostructures and Flight Science Advanced Composite and Alloy Additive Manufacturing Propulsion
-
Associate Professor - Electrical and Computer Systems Engineering Job No.: 678997 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $175,487
-
. 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
-
, and a PhD research program with over 120 students. 40 academic staff conduct experimental research in many areas of Psychology, including behavioural and cognitive neuroscience, perception, learning
-
telecommunications engineering, software engineering, signal and image processing, machine learning, and related fields. For information and contacts details please see the Space & Astronomy Project List linked
-
-renewable-energy-engineering Skills & Experience: A PhD in Computer Science or a related field. Thorough theoretical background in machine learning and deep learning. Demonstrated experience in developing
-
the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The project is a collaboration with Defence Science and Technology Group, within the Combat
-
analytic and computational skills, including the demonstrated ability to perform machine learning, numerical and symbolic calculations. Senior Lecturer (Level C, $140,127 – $161,145 per annum) plus
-
and maintaining effective and productive networks with the discipline, profession, and wider community. A PhD qualification in a relevant field. What’s on Offer? You’ll have access an array of staff