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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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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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simultaneous markers on cells), cell sorting, multiplex cytokine analysis (Luminex), and classical immune techniques, e.g. ELISA, ELISPOT, immunohistology, proliferation and functional T cell assays. We use a
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(1). To be eligible for this scholarship you must: Be an Australian citizen or an Australian permanent resident who is eligible and has applied to be Australian citizen at the time of project
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PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
sorting, multiplex cytokine analysis (Luminex), IVIS imaging, as well as ELISA, ELISPOT, immunohistology/immunofluorescence, proliferation and functional T cell assays. There is also potential scope to use
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Using cancer and vaccine clinical trials, the project will use RNAseq, epigenetics and flowcytometry, as well as classic immunological techniques. Using cancer and vaccine clinical trials
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health, aged care, information technology or public health. They should have a strong interest in digital health, aged care innovation, and technology-driven healthcare solutions. Candidates must possess
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. To apply, please submit the following documents to Prof. Magdalena Plebanski (magdalena.plebanski@rmit.edu.au ) and Dr Kirsty Wilson (kirsty.wilson2@rmit.edu.au ). A copy of electronic academic transcripts A
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Candidate will use techniques such as germline/tumour sequencing data, plasma analysis and work with patients’ immune cells work to identify key functional targets. They may perform epigenetic techniques, DNA
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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 adequate oral and