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disease patients using radiation therapy. The primary aim of this research is to develop real-time target tracking and/or dynamic imaging algorithms for implementation within radiotherapy and medical
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control: algorithm development for decision-making under constraints. Required Skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization
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control: algorithm development for decision-making under constraints. Required skills: Programming and simulation: strong experience in Python or MATLAB. Mathematical modelling: probability, optimization
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expertise by developing an e-commerce website prototype with the developed algorithm embedded within the prototype, ensuring its full functionality and integration. Reports to: Project Lead Project name
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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experience and conceptual background in cellular immunology. Interest or experience in genetics and basic bioinformatics. Experience in tissue culture. To apply, please submit the following documents to Prof
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applicants only. Australian domestic applicants only. Apply through the How to apply page on the RMIT website. Apply through the How to apply page on the RMIT website. Contact Prof Vikram Garaniya
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selection criteria. Please send a brief (maximum 1 page) expression of interest with your CV and transcripts to Prof. Toby Allen via toby.allen@rmit.edu.au Please send a brief (maximum 1 page) expression of
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their immunity may underlie long-term complications such as long COVID-19. Co-supervised by Prof. Katie Flanagan (Launceston General Hospital). COVID-19 and the development of autoimmunity: This project compares
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at the project location(s). Contact A/Prof. Ken Chiang at RMIT University to express interest. Submit an expression of interest (EOI) following the instructions on RMIT University’s webpage If shortlisted, attend