Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
areas as: digital forensics, computer vision, biometrics (face or voice recognition, etc.) and natural language processing. At Adelaide University, we create the opportunities you need to achieve your
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 6 days ago
numerical seismology, data processing, computer programming, and fieldwork are encouraged to apply. The position working with Dr Caroline Eakin will focus on research in observational seismology, with the aim
-
and passionate individuals who share our values and vision. RMIT University has a global reputation and ranks 125th globally and 10th in Australia in the QS World University Rankings 2026. To learn more
-
Professorial Research Fellow in Artificial Intelligence (AI) and Machine Learning (ML) to provide leadership and vision in advancing research excellence. This is a unique opportunity to apply cutting-edge
-
-platforms-lab . About You (Selection Criteria) You are a motivated and collaborative early career researcher with a strong foundation in AI and machine learning, and a genuine enthusiasm for applying
-
a motivated academic to join the Computing and Mathematical Sciences discipline as an Associate Lecturer/Lecturer in Human Computer Interaction and User Experience (HCI/UX). This position offers
-
for research leadership. Strong experience in at least two of the following areas: deep learning and/or computer vision continual learning vision language models Experience in developing comprehensive benchmarks
-
Engineering is seeking a distinguished academic to join the Computing & Mathematical Sciences discipline as an Associate Professor / Professor in Human Computer Interaction & User Experience (HCI/UX). You will
-
expertise, collaborative skills, and a commitment to delivering high-quality outcomes. A PhD (or near completion) in Computational Biology, Chemistry, Biochemistry, Pharmacology, or a related field
-
(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering