739 postdoctoral-image-processing-in-computer-science positions at Monash University in Australia
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people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr
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of a proof-of-concept prototype in partnership with law-enforcement, higher-education, and commercial organisations. It will involve the gathering of multi-stakeholder organisational requirements and the
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, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in
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result of my scholarship, I have been able to purchase a new computer to assist in my studies. This improved my capacity to focus on my studies and achieve my academic goals. Law has been a dream of mine
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apply for the VTAC equity schemes (SEAS) to be automatically considered. This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read
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following criteria: Must be enrolled to commence in, or hold an offer for one of the 3 listed IT single degree courses: Bachelor of Information Technology (C2000) Bachelor of Computer Science (C2001) Bachelor
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Level 8 (plus 17% employer superannuation) Utilise your strong technical aptitude across a complex multi-university structure. Process complex information from multiple data sources Be part of a team that
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, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments
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Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $35,013 per annum 2024 full-time rate, as per the Monash Research Training Program (RTP) Stipend . Monash
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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...