105 coding-"https:" "https:" "https:" "Computer Vision Center" PhD scholarships in Australia
Sort by
Refine Your Search
-
Listed
-
Employer
- Monash University
- Flinders University
- Murdoch University
- La Trobe University
- Queensland University of Technology
- University of Melbourne
- Australian National University
- The University of Auckland
- CSIRO
- The University of Southampton
- Australian Defence Force (ADF)
- Deakin University
- Dementia Australia Grant
- RMIT University
- The Garvan Institute
- The Kadadjiny Indigenous Scholarship
- University of East London
- University of Wollongong
- 8 more »
- « less
-
Field
-
for applicants to also have: Honours/Masters degree in either Engineering, Computer Science or IT related fields. Experience in Deep Learning, Computer Vision, and Python programming Interest in
-
. The project will advanced state of the art AI for NLP or vision or both and embed self-awareness modules within these systems. This will likely involve a combination of the standard methods in these
-
. The project will advanced state of the art AI for NLP or vision or both and embed self-awareness modules within these systems. This will likely involve a combination of the standard methods in these
-
[Malaysia Campus- VPSSP] An AI-Informed Planetary Health Framework for Equitable AMR Risk Mitigation
ensure local relevance. Required knowledge Artificial Intelligence; Machine Learning; Computer Vision; Bioinformatics; Biomedical Engineering; Neuroscience; Genomics; Medical Physics; Data Science
-
, Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp270-283 Wallace, C.S. and P.R. Freeman (1987). Estimation and inference by compact coding. J. Royal Statist. Soc. B, 49
-
, Computer Journal (special issue on Kolmogorov complexity), Vol. 42, No. 4, pp270-283 Wallace, C.S. and P.R. Freeman (1987). Estimation and inference by compact coding. J. Royal Statist. Soc. B, 49
-
publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
-
publications, citations or scientific careers to test the implications of a model. References Fortunato, S. et al. “Science of science.” Science 359 (2018): eaao0185. https://doi.org/10.1126
-
equivalent to an ANU first class Honours and in the area of electrical engineering; has solid fundamental knowledge and research experience in communications and/or signal processing, as well as coding (e.g
-
, no. 6379 (March 2, 2018): eaao0185. https://doi.org/10.1126/science.aao0185. Required knowledge Have an excellent academic track record in computer science or a cognate field. An Honors degree with HD