294 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at Monash University
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the area of end-to-end modular autonomous driving using computer vison and deep learning methods. This includes developing an efficient and interpretable image processing, vision-based perception and
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results. For full information on scholarship eligibility, please click here . For general information on applications and commencing a research degree at Monash, please click here . Apply for a scholarship
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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processes, providing services, responding to queries, advising on policy and process, project administration and producing reports. The role requires consistent data accuracy, timely financial reporting, and
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. Excellent interpersonal and communication abilities. High-level computer literacy and database management. Discretion, tact, and a commitment to confidentiality. This is your opportunity to play a key role in
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information with care. You’re an analytical problem-solver, able to resolve issues independently without repeatedly seeking guidance. Comfortable working autonomously, you exercise sound judgment and initiative
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This research project aims to address the critical need for privacy-enhancing techniques in machine learning (ML) applications, particularly in scenarios involving sensitive or confidential data
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domain experts’ beliefs about the relationships among variables that can be used to describe them. The BN structure, the probability distributions and parameters it is built from, can be derived from data
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in an area where they can demonstrate impact. The work of the Research Fellow will align with one or more of the Turner Institute’s 6 programmatic research areas, more information can be found here
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Director, Opportunity Tech Lab; Chair of the Steering Committee, Monash Business Behavioural Laboratory) Dr Mor Vered (Department of Data Science & AI, Faculty of IT) Dr Estelle Wallingford (Department