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, criminology, statistics, or data science experience in managing and analysing large relational datasets in R, SPSS, Stata or similar software strong quantitative skills excellent communication skills, both
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and Honour’s or Master’s. Desirable criteria: Practical experience and conceptual background in cellular immunology. Experience in tissue culture. To apply, please submit the following documents to Prof
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, by bridging the gap between nanomaterials science and energy harvesting applications, this research paves the way for next-generation membranes with high-performance capabilities, unlocking new avenues
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. The project team is: Prof Alice Payne (RMIT), A/Prof Tiziana Ferrero-Regis (QUT), Dr Zoe Mellick (QUT) and Dr Yassie Samie (RMIT). The ARC Discovery project is a partnership between RMIT Melbourne and QUT
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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, internal student and commence by 1 January 2026 Have a background in material/mechanical/chemical engineering or chemistry or physics or similar field, and First class or second-class division A bachelor
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with a systems biology approach in which we will investigate whether the immunological changes in young and elderly are characterized with changes in the gut microbial composition. Currently big data
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Centre for Health Economics, Monash Business School, PhD Program 2025 Job no.: 625101 Location: Caulfield campus Duration: 4.5-year fixed-term appointment Employment type: Full-time Remuneration
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commence by 1 January 2026. Have a background in material/mechanical/chemical engineering or chemistry or physics or similar field, and: First class or second-class division A bachelor honours degree (GPA
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The scholarship will fund a 3 year PhD candidature to work in the Chemistry Department of the School of Science CAMIC Laboratory. The project is a collaboration with Assoc. Prof Ravi Shukla to test