270 learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Mathematics
- Biology
- Medical Sciences
- Statistics
- Psychology
- Social Sciences
- Design
- Engineering
- Education
- Arts and Literature
- Electrical Engineering
- Environment
- Linguistics
- Physics
- Law
- Materials Science
- Humanities
- Business
- Chemistry
- Earth Sciences
- Sports and Recreation
- Economics
- 13 more »
- « less
-
Primary supervisor David Dowe Co-supervisors Dr Nenad Macesic Research area Machine Learning Antimicrobial resistance (AMR) is one of the most significant and immediate threats to health in Australia
-
Primary supervisor David Dowe Co-supervisors Dr Nenad Macesic Research area Machine Learning Antimicrobial resistance (AMR) is one of the most significant and immediate threats to health in Australia
-
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
-
Kwan Dr Shahid Javaid Dr Ana Antonic-Baker Research area Machine Learning Using the Project-1 hiPSC platform, this project builds AI pipelines to learn disease-relevant representations from cellular
-
programming background with fundamentals in machine learning and data science. Experience in building visualisations and interactive immersive environments (using game engines like Unity3D) is
-
Primary supervisor Raphaël C.-W. Phan Co-supervisors Arghya Pal Sailaja Rajanala Prof Lin Chen [https://scholar.google.com/citations?user=pqe3-BMAAAAJ] Research area Cybersecurity AI is now trending
-
modelling and machine learning. Project funding Project based scholarship Funding reference https://www.monash.edu/it/environmental-informatics-hub Learn more about minimum entry requirements .
-
modelling and machine learning. Project funding Project based scholarship Funding reference https://www.monash.edu/it/environmental-informatics-hub Learn more about minimum entry requirements .
-
mathematicians. In this role you will also conduct cutting-edge research in computational and applied mathematics, including but not limited to optimisation, scientific machine learning and AI for science