Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Linguistics
- Science
- Arts and Literature
- Biology
- Materials Science
- Humanities
- Mathematics
- Law
- Philosophy
- Education
- Psychology
- Social Sciences
- Chemistry
- Design
- Earth Sciences
- Electrical Engineering
- Environment
- Sports and Recreation
- 13 more »
- « less
-
operators for these notions. Over the past fifty years, such non-classical logics have proved vital in computer science and logic-based artificial intelligence: after all, any intelligent agent must be able
-
Lecturer/ Senior Lecturer - Electrical and Computer Systems Engineering Job No.: 675715 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $114,951
-
Commercialisation Associate - Physical Sciences Job No.: 677763 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $103,178 - $113,167 pa HEW Level 7
-
Senior Defence Industry Security Program Coordinator Job No.: 676291 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $116,075 - $128,126 pa HEW
-
Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering For further information, please follow the link for each Graduate Research Degree ● 3291 - Doctor
-
and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering To be eligible to apply for domestic postgraduate research scholarships an applicant must be
-
Senior Program Officer Job No.: 677356 Location: Clayton campus Employment Type: Full-time Duration: 3 year fixed-term appointment Remuneration: $103,178 - $113,167 pa HEW Level 07 (plus 17
-
tools to tackle some of the most complex questions in brain science. As a Level A research-only academic, you will contribute to projects that integrate computational models with experimental neuroimaging
-
intelligence (XAI). This project will build on the methodology of formal explainable AI (FXAI) and aim at advancing FXAI technology and broadening its use by seeking (1) how to efficiently represent an AI system
-
, software, human-computer interaction, ...). We also work very much interdisciplinarily with colleagues from other faculties, e.g. on bio-diversity matters, on physical aspects, on modelling aspects, and on