Sort by
Refine Your Search
-
Listed
-
Employer
- Curtin University
- RMIT University
- The University of Queensland
- University of Adelaide
- RMIT UNIVERSITY
- University of Melbourne
- Deakin University
- Edith Cowan University
- La Trobe University
- Monash University
- The University of Western Australia
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF WESTERN AUSTRALIA
- University of New South Wales
- University of South Australia
- 5 more »
- « less
-
Field
-
of Computer Science and Information Technology of the foundation universities will join in a new School of Computer Science and Information Technology. The joint team’s research strengths include artificial
-
Therapy, Computer Science, Engineering, Mathematics, Science, Physics, etc). Emerging track record publishing in high quality journals (e.g., Medical Physics, IEEE, etc.). Experience presenting at high
-
field (e.g., Medical Physics, Radiation Therapy, Computer Science, Engineering, Mathematics, Science, Physics, etc). Emerging track record publishing in high quality journals (e.g., Medical Physics, IEEE
-
the science, technology, engineering, mathematics and health (STEM) fields. We are uniquely positioned to influence and partner with industry, as never before. STEM College is a community of exceptional STEM
-
expertise in the science, technology, engineering, mathematics and health (STEM) fields. We are uniquely positioned to influence and partner with industry, as never before. STEM College is a community of
-
community engagement activities. About you A PhD in a relevant discipline such as physics, astronomy, or computer science. Work experience in Computer Science, Information Technology, or a related field
-
, astronomy, or computer science. Work experience in Computer Science, Information Technology, or a related field. Strong programming skills in C++, Java or Rust. Experience with repository management, software
-
Statistics; alternatively, a master’s degree in Biostatistics or Statistics with broad experience working as an applied statistician in health research. Proven comprehensive understanding of biostatistical
-
-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
-
: Support to publish, lead projects, and build a national/international profile. Work-life benefits: 17% superannuation, generous leave entitlements, wellness initiatives, and study support. Collaborative