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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...
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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
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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
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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
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Research Fellow, Systems and Computational Neuroscience Job No.: 676758 Location: Clayton campus Employment Type: Full-time Duration: 2-year fixed-term appointment Remuneration: $80,464 - $109,203
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Lecturer/ Senior Lecturer - Electrical and Computer Systems Engineering Job No.: 675715 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $114,951
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Program Officer Job No.: 677792 Location: 553 St Kilda Road, Melbourne Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration: $80,603 - $92,585 pa HEW Level 05 (plus 17
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Defence Industry Security Program (DISP) Lead Job No.: 677342 Location: Clayton campus Employment Type: Full-time Duration: 12-month fixed-term appointment Remuneration: $135,417 - $143,738 pa HEW
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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
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Scholarship in CSIRO Industry PhD Program - Project 1: Resilient & Practical Quantum-Safe Threshold Cryptography Job No.: 678541 Location: Clayton campus Employment type: Full-time Duration: 4-year