Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Monash University
- Curtin University
- University of Adelaide
- Queensland University of Technology
- La Trobe University
- University of Melbourne
- University of Southern Queensland
- CSIRO
- Flinders University
- Murdoch University
- Crohn’s & Colitis Australia IBD PhD Scholarship
- Data61 PhD Scholarships
- Nature Careers
- Swinburne University of Technology
- The University of Newcastle
- The University of Queensland
- UNIVERSITY OF SYDNEY
- UNSW Sydney
- University of Sydney
- 9 more »
- « less
-
Field
-
, back-test and live-shadow strategies on institutional-grade infrastructure. You will also gain opportunity for concluding new research insights into high-quality papers that may make big impact to
-
, this stage begins in Year 2 of the MCom degree and takes one year to complete. Provided you meet the agreed conditions, you will then progress to the PhD, which involves high quality research training
-
redox, dissolved gases, noble gases, and isotopes, will be coupled with water–rock interaction experiments. Laboratory tests will investigate the effects of temperature, salinity, and mineralogy on gas
-
are recruiting three PhD students for the following Projects: Project 1: Unifying on-farm data and crop models to enhance tactical crop decisions Summary: Despite the increasing availability of on-farm data and
-
, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
-
Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning
-
I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
-
learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care. Your key responsibilities will be to: recruiting study participants
-
data science methods to build explainable and integrated machine learning models that can be utilised by health services to make real-time, data-informed clinical decisions in youth mental health care
-
-quality, impactful research in high-temperature materials science, with a particular focus on phase transformations in ceramics, metals, and other solid-state systems. The PhD candidate will join the MSE