Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- The University of Queensland
- University of Sydney
- CSIRO
- Curtin University
- Monash University
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Adelaide
- University of New South Wales
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Charles Sturt University
- Deakin University
- Macquarie University
- Nature Careers
- RMIT University
- The University of Western Australia
- University of Tasmania
- 7 more »
- « less
-
Field
-
metabolic diseases extensive experience in clinical and population metabolic health research, including systematic reviews and meta-analyses demonstrated experience conducting research using linked
-
Job Reference: 1168098 About the Role: You will play a key role in advancing distributed and adaptive AI methods, focusing on scalable software frameworks, learning algorithms, and orchestration
-
education sector Highly desirable: experience with data linkage techniques use of health service data familiarity with government data assets (e.g., PLIDA, National Disability Data Asset) experience with meta
-
women. Perform advanced statistical analysis of cohort studies and meta-analysis of published literature to achieve project outcomes specified in the project work plan. Prepare applications for data
-
, National Disability Data Asset) experience with meta-analytic techniques. Work Rights You must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not
-
environmental sensing. The incumbent will contribute to the development and deployment of real-time correction algorithms and hardware systems, leveraging GLAO technologies in collaboration with ULTIMATE-Subaru
-
Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning
-
Massachusetts Institute of Technology (MIT) in Cambridge, Massachusetts. Your key responsibilities will be to: design and implement mathematical algorithms, and facilitate their integration into Magma engage with
-
, Massachusetts. Your key responsibilities will be to: design and implement mathematical algorithms, and facilitate their integration into Magma engage with users, researchers, and developers, both internally
-
of single-cell molecular data. Experience and expertise in ML/AI algorithms for analysis of single-cell genomic data Demonstrated capacity to work collaboratively with researchers across both dry and wet