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or knock out their cancer. One key goal of these trials is to identify the key functional targets for the immune response and leverage this to initiate development of personalised cancer vaccines. As part of
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Processing/Control Path Planning/Trajectory Planning Multi-Target Tracking/Multi-Object Tracking, Bayesian Filtering, Radom Finite Set filters or closely related multi-target tracking approaches in radar
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numbers of minimally-interpretable models being used, as opposed to traditional models like decision trees, or even Bayesian and statistical machine learning models. Explanations of models are also needed
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to building structure-activity relationships (SARs) based around targeted modifications of their patented gold-based drug candidate using innovative in vitro protocols to refine lead drug candidate(s). This
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filled Until filled One scholarship available. One scholarship available. Applicants should meet RMIT HDR admission requirements, this scholarship is primarily targeting local students but international
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. The project team will work with the world class AI and machine learning experts and target at solving real clients' problems. This scholarship aims to develop practical methods for optimisaton in large supply
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protein/enzyme preservation, thermal stability, and controlled release, targeting biomedical, enzymatic, food additive, environmental, and packaging applications. Project Overview: The research integrates
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PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
or malaria. Hypotheses: Nanoparticles in the viral size range will target antigen presenting cells in the local lymph nodes to elicit a strong vaccine induced immune response dependent on the size and
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, this scholarship is primarily targeting local students but international students may be considered subject to the approval of the Fight Food Waste CRC Applicants should meet RMIT HDR admission requirements