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Full time, 2 years fixed term position. Located at the Carslaw Building (F07) on the Camperdown Campus Provide technical support relating to Linux-based computing for the Magma research group Base
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Overview: RMIT Vietnam is seeking a Teaching Assistant, Computing Technologies to join our academic community and deliver high-quality teaching, and student engagement. This is an exciting
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Primary supervisor Thanh Thi Nguyen Research area Machine Learning 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...
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Inria, the French national research institute for the digital sciences | Villeneuve, Queensland | Australia | 14 days ago
, computational intelligence, heuristic search, or related areas, as well as to candidates with expertise in parallel and HPC computing combined with a solid understanding of combinatorial optimization. While
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 27 days ago
Institute Administrator Employer AUSTRALIAN NATIONAL UNIVERSITY (ANU) Location Canberra, ACT, Australian Capital Territory, Australia Salary $89,760 - $97,918 per annum plus 17% super Closing date 18
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$107,312 - $115,686 p.a. + 17% superannuation About the opportunity The Scientific Software & Computing Support Technician supports the Scientific Computing Team in supporting a diverse range of custom
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intelligence techniques to effectively detect phishing websites. By leveraging these advanced methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms
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of affective computing. The project aims to develop reproducible machine learning approaches for automatic emotion recognition in music, with stronger theoretical grounding, transparent model
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of affective computing. The project aims to develop reproducible machine learning approaches for automatic emotion recognition in music, with stronger theoretical grounding, transparent model
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areas: fluid mechanics, multiphase flow, electrohydrodynamics, electrochemistry, bubble dynamics, and electrolysis experiments. Demonstrated knowledge or experience in using some numerical methods such