Sort by
Refine Your Search
-
Research Fellow - CONNECT Consumer Program - Australian and New Zealand Intensive Care Research Centre (ANZIC-RC) Job No.: 687556 Location: 553 St Kilda Road, Melbourne Employment Type: Part-time
-
Science and Artificial Intelligence, with a focus on visual reasoning and robotic systems. The Research Fellow position involves developing novel approaches that integrate computer vision, natural
-
Fellows to join a major program (>$20M) funded by the Advanced Research Projects Agency for Health (ARPA-H). This ambitious program focuses on lymphatic pathophysiology and the development of innovative
-
community Be surrounded by extraordinary ideas - and the people who discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a Level A
-
discover them The Opportunity The Department of Electrical and Computer Systems Engineering at Monash University is seeking a motivated Level A Research Fellow for a 2 year research-only appointment. A Level
-
and Inductive Inference by Minimum Message Length'', Springer (Link to the preface [and p vi, also here]) Wallace, C.S. and D.L. Dowe (1994b), Intrinsic classification by MML - the Snob program. Proc
-
research papers and reports. A collaborative approach, strong computer literacy, and an understanding of confidentiality and data handling principles are essential to thrive in this role. About Monash
-
. Excellent written and verbal communication skills are essential, as is a collegiate approach to working with others. You will also have advanced computer skills, including experience with Microsoft Word
-
Future Fund–supported program (2026–2030) to reduce addiction, self-harm, and mental ill health. The project integrates 20 years of binational cohort and cross-sectional data with administrative datasets
-
Future Fund–supported program (2026–2030) to strengthen evidence on addiction, self-harm and mental ill health. The multidisciplinary study will analyse 20 years of binational cohort and cross-sectional