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and AI PhD candidate interested in agentic AI, supervised by Dr Teresa Wang and Dr Tongtong Wu at Monash University, jointly with Dr He Zhao and Dr, Dan Steinberg from CSIRO, Dr Yue Yang and David
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Familiarity with Python and Callista data is desirable About Monash University At Monash , work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where
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Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
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Duration: 3.5-year PhD scholarship, subject to Monash University scholarship conditions Remuneration: The successful applicant will receive a Research Living Allowance, at current value of $ 37,145 AUD per
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into an accessible and practical digital resource. Applications are encouraged from candidates with the technical expertise and research focus to make a valuable contribution to this project. Monash University seeks
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econometric skills and experience using statistical software such as Stata, R or Python. You will bring demonstrated experience in empirical research, survey design or implementation, data analysis and research
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, collegiate environment, providing the ideal platform to build your academic profile, expand your research network, and tackle complex industrial and scientific challenges. About Monash University At Monash
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for an outstanding PhD candidate to undertake an Industry Linked PhD at Monash University in collaboration with Aervision Pty Ltd , an Australian AI company developing advanced video analytics solutions for critical
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evaluation will be conducted to assess the performance of these models, identifying their strengths and areas for improvement. Required knowledge Python programming Machine learning background
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candidates for PhD study in the Department of Data Science and Artificial Intelligence at the Faculty of IT, Monash University. As part of this scholarship, the successful candidate will develop novel