Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
. The candidate will be embedded within this program, working in parallel with a multidisciplinary team designing a ruggedised mobile CT scanner in collaboration with Micro-X Inc., while engaging closely with
-
Indigenous Graduate Program 2026 Job No.: 679754 Location: Multiple locations - Clayton, Caulfield, Peninsula and Parkville campuses Employment Type: Full-time Duration: 12-month fixed-term
-
Research Manager - Environmental Informatics Hub Job No.: 680089 Location: Clayton campus Employment Type: Part-time, fraction (0.5) Duration: 2-year fixed-term appointment Remuneration: Pro-rata
-
Indigenous Initiatives Program Coordinator Job No.: 679410 Location: Clayton campus Employment Type: Full-time Duration: 18 month/year fixed-term appointment Remuneration: $106,789 - $117,128 pa HEW
-
Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where the target person appears to be performing actions or speaking as the source person. In a broader...
-
". A number of emerging approaches, such as zero resource and unsupervised NMT, have investigated alternative methods in developing NMT models where sufficient parallel corpora are not available (eg [1,2
-
PAIR Program Manager Job No.: 679558 Location: Caulfield campus Employment Type: Full-time Duration: Fixed-term appointment until 31 December 2027 Remuneration: $120,138 - $132,610 pa HEW Level 08
-
methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms. Required knowledge Python programming Machine learning background Text analysis Image
-
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
-
of mobile ringtones. Traditional machine learning methods and transformer models will be used to learn patterns from audio signals and classify ringtones into predefined categories (e.g., default ringtones