Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Monash University
- Curtin University
- La Trobe University
- The University of Newcastle
- University of Adelaide
- AI & Cyber Futures Institute - Charles Sturt University
- Murdoch University
- Queensland University of Technology
- The University of Queensland
- UNIVERSITY OF SYDNEY
- University of Southern Queensland
- University of Sydney
- 2 more »
- « less
-
Field
-
Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time, 100% FTE Fixed-term position through to 04 January 2027, with the possibility of extension Base salary will be in
-
models. TensorFlow or PyTorch is desirable. How to apply To apply, please ensure you have digital copies of the below information: • Curriculum vitae; encompassing any research presentations and/or
-
modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
-
uptake and adherence, and the modelling of future health inequalities by building tools for distributional cost effectiveness analysis. Integrated PhD Program As a candidate in the Centre for Health
-
to trick AI-based models, pay little attention to fake-normal data traffic generated by Generative Adversarial Networks (GAN). This PhD research will address a major vulnerability in AI based smart grids by
-
the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: A/Prof. Robin Hobbs School of Biomedicine E: robin.hobbs
-
identified. For further information For a confidential discussion regarding this position, contact: Dr Luke Isbel Group Leader in the Cancer Epigenetics Program at the South Australian immunoGENomics Cancer
-
Nations communities to own clean energy projects on Country by exploring best-practice models of social and cultural engagement, advocacy, agency and justice. For More Information, read the TRaCE flyer
-
interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
-
additional information about the project from Daniel Gucciardi (d.gucciardi@curtin.edu.au ). Please include “Query re C2 Agility PhD scholarship” in the email subject heading. Scholarships Email Alert Sign up