Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Monash University
- Flinders University
- La Trobe University
- Queensland University of Technology
- University of Melbourne
- University of Southern Queensland
- Australian National University
- Deakin University
- Dementia Australia Grant
- RMIT University
- The Garvan Institute
- The University of Auckland
- The University of Southampton
- University of East London
- University of Wollongong
- 5 more »
- « less
-
Field
-
learning. A publication or two in related areas will be a plus. the candidate should have strong Python/R <b>programming</b> skills. The candidate will work closely with experts in both machine learning and public health. Project funding Project based scholarship Learn more about minimum entry...
-
should have a strong background in: Data Science, Artificial Intelligence and Machine Learning Python and/or R programming Data preprocessing, feature engineering and statistical analysis Supervised and
-
Buffet, and Iadine Chades. "Interpretable Solutions for Stochastic Dynamic Programming." bioRxiv (2024): 2024-08. Wells, Lindsay, and Tomasz Bednarz. "Explainable ai and reinforcement learning—a
-
diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior experience with programming (e.g., Python), machine learning, or
-
should also have a strong computer science background with good programming skills. Learn more about minimum entry requirements .
-
, Artificial Intelligence and Machine Learning Python and/or R programming Data preprocessing, feature engineering and statistical analysis Supervised and unsupervised machine-learning techniques Deep
-
should also have a strong computer science background with good programming skills. Learn more about minimum entry requirements .
-
diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior experience with programming (e.g., Python), machine learning, or
-
, Artificial Intelligence and Machine Learning Python and/or R programming Data preprocessing, feature engineering and statistical analysis Supervised and unsupervised machine-learning techniques Deep
-
qualifications: Honours/Msc degree in microbiology/bioinformatics, with specific emphasis on functional microbial multi-omic data analysis. Knowledge of a programming language e.g. Python/R. Desired