498 affective-computing-"https:"-"https:"-"https:"-"UCL" positions at Monash University
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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals from mobile devices and classify them into different categories or types of ringtones. The...
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: Continuing appointment Remuneration: Pro-rata of $76,744 - $82,090 pa HEW Level 4 (plus 17% employer superannuation) Amplify your impact at a world top 50 University Join our inclusive, collaborative community
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potential remedial approaches - will be explored in this research program and they include (as examples): variability in staining outcomes across different stains and different sites (even within a given
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Performance Computing platform (MASSIVE) to do the experiments.
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. Should you require any specific support or adjustments throughout the recruitment process and beyond, please get in touch at hr-recruitment@monash.edu and we'll be happy to assist. Your employment is
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explores how people of different ages play together, focusing on the experiences and perspectives of all participants. Working within a broader research program, the candidate will collaborate with
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into AI systems or mathematical and computational models of brain function. This project would be for someone who wishes to pursue a deeper understanding of humans and machines and the meaning this has
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Species’ distributions are shifting in response to global climate change and other human pressures. Accurate methods to monitor and predict distribution shifts are urgently needed to manage threatened species and ecosystems, and to control invasive species and diseases. This requires a...
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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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these decisions? Required knowledge This project is open to candidates from diverse academic backgrounds, including computer science, data science, learning sciences, or educational technology. While prior