133 machine-learning-"https:"-"https:"-"https:"-"https:"-"EMBL" PhD positions in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Monash University
- Flinders University
- Queensland University of Technology
- Australian National University
- Bond University
- Charles Sturt University
- The University of Auckland
- University of Melbourne
- Australian Rotary Health: Indigenous Health Scholarship Program
- CSIRO
- Deakin University
- Dementia Australia Grant
- RMIT University
- Swinburne University of Technology
- The Garvan Institute
- The Kadadjiny Indigenous Scholarship
- The University of Southampton
- University of Lund
- University of Sydney
- 9 more »
- « less
-
Field
-
Primary supervisor Rafael Baiao Dowsley Research area Cybersecurity With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful
-
Primary supervisor Rafael Baiao Dowsley Research area Cybersecurity With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful
-
Primary supervisor Vincent Lee Research area Machine Learning Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in
-
unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary project will combine data science and artificial
-
Primary supervisor Vincent Lee Research area Machine Learning Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in
-
Primary supervisor Hui Cui Research area Cybersecurity This research project aims to address the critical need for privacy-enhancing techniques in machine learning (ML) applications, particularly in
-
unknown relies on the development of complex algorithms at the forefront of statistics, machine learning, and data science. This multi-disciplinary project will combine data science and artificial
-
this, this project aims to develop machine learning models to analyse audio features such as pitch, tone, cadence, and spectral characteristics. These techniques are implemented to detect subtle
-
this, this project aims to develop machine learning models to analyse audio features such as pitch, tone, cadence, and spectral characteristics. These techniques are implemented to detect subtle
-
data. Manage preferences for further information and to change your choices. Accept all cookies Reject optional cookies Skip to main content Faculty Opportunity in Cancer Research – Machine Learning