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$34,841 per annum, for 3 years $34,841 per annum, for 3 years Applicants should meet RMIT HDR admission requirements. Applicants should meet RMIT HDR admission requirements. Open now Open now 5 July 2024 5 July 2024 To apply, please submit your CV and academic transcripts to Prof Feng Xia...
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for suitability. Project supervisor: Inge Koch [email protected] This project includes big functional data from proteomics MALDI mass spectrometry imaging with an external supervisor and data expert from South
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, security, and/or machine learning are preferred. To apply, please submit the following documents to Dr Hai Dong ([email protected]). Expressions of interest should contain the following information: A one
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relativistic quantum information (RQI). This highly challenging PhD experience will offer you the chance to work on world-class research combining quantum information theory with key aspects of quantum field
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eligible for this scholarship you must: Have a first-class Honours degree in Computer Science or equivalent Have strong computational, programming, algorithms, and data analysis skills Provide evidence of
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including
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with qualitative research methods in social science as well as some quantitative methods in data collection and analysis. Experience in conducting research among culturally and linguistically diversified
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conditions have been satisfied. Open now. Open now. 31 December 2027. 31 December 2027. Contact Associate Professor Ken Chiang ([email protected] ) for more information. Contact Associate Professor Ken