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professional and innovative approach to individual program design and diligent and proactive supervision of the Fitness Centre. At Caulfield campus you will also be required to provide a high level of customer
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Nowadays more and more intelligence software solutions emerge in our daily life, for example the face recognition, smart voice assitants, and autonomous vehicle. As a type of data-driven solutions, intelligent components learn their decision logic from data corpus in an end-to-end manner and act...
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connected neuroimaging research program—applications are warmly encouraged from candidates seeking to play a key role in advancing high-quality, impactful research. Monash University seeks applicants
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checks required for the role, as determined by the University. Enquiries: Dr Belinda Comerford, Education Program and Safety Manager, School of Biological Sciences, 9905 1856 Position Description: Teaching
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compliance assurance program across the Monash Group, working in close collaboration with central portfolios, controlled entities and faculties to ensure that Monash complies with its regulatory and other
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Science Communication. This project is an inter-faculty collaboration that will develop an innovative framework for transdisciplinary music-science collaboration via new creative works. A focus is placed on
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professional and innovative approach to individual program design and diligent and proactive supervision of the Fitness Centre. At Peninsula campus you will also be required to provide a high level of customer
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models for deployment in real-world driving scenarios. Required knowledge First-class bachelor’s honours or master’s degree in computer science, engineering, or a related field. Alternatively, second upper
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who discover them The Opportunity The ARC SRIEAS Securing Antarctica’s Environmental Future (SAEF) program is a leading international research initiative from the Faculty of Science focused
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much less advanced than for other forms of data. Our research is revolutionising the analysis of time...