Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
Automating code generation, SQL query formulation, and data preprocessing pipelines is a crucial step toward intelligent and efficient software development. This project aims to leverage large
-
help shape enhanced processes, guide strategic decisions, and support the university’s commitment to the National Higher Education Code to Prevent and Respond to Gender-Based Violence. You’ll be a
-
Code for the care and use of animals for scientific purposes (8th edition 2013 (updated 2021) (the Code)). The AEC is comprised of members across various categories as stipulated in the Code and includes
-
with emerging technologies and enjoy sharing what I learn with others. Take pride in writing clean, maintainable code and following best practices like unit testing, code reviews, and release management
-
processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based
-
of research and teaching activities involving animals to ensure the use of animals is justified and has scientific merit and animal welfare is prioritised, in accordance with the Australian Code for the care
-
Code for the care and use of animals for scientific purposes (8th edition 2013 (updated 2021) (the Code)). The AEC is comprised of members across various categories as stipulated in the Code and includes
-
of the AIATSIS Code of Ethics Why Join Us Opportunity to shape lasting impact on Indigenous advancement in one of Australia's leading Universities. Work at a strategic level alongside senior leaders to influence
-
statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI
-
, Statistics and Computing, Vol. 10, No. 1, Jan. 2000, pp73-83 Wallace, C.S. and P.R. Freeman (1987). Estimation and inference by compact coding. J. Royal Statist. Soc. B, 49, 240–252.