Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
mechanisms and transformer models. Qualifications Bachelor’s degree with First Class Honours (or equivalent) and/or a research master’s degree in computer science, AI or Computer Vision; or an equivalent
-
open to Australian citizens who can meet the requirements for PhD admission at the University of Adelaide, and who can demonstrate suitable experience in Mathematics, Physics and/or Computer Science
-
engagement or workshop facilitation Interest in multi-method or mixed-method research approaches Note: applicants who already hold a PhD degree will not be considered. Research Environment You will be based in
-
analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for future autonomous instrument control and self-directed experimentation will be developed, recognizing
-
addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
-
network will from 2023 onwards incorporate a southern node at Siding Spring Observatory, near Coonabarabran. Gravitational-wave triggers are the priority sources, but the instrument has broad capabilities
-
; Health; Information technology and computer science; Law; Music, visual and performing arts; Science Need help understanding the process? Visit our scholarship guide Application How to apply There is a two