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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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between the successful candidate and the supervisor team. The candidate will gain advanced expertise in qualitative research methods, such as in-depth interviews, policy analysis, and/or ethnographic
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methodologies, including conference ethnographic and or digital ethnographic approaches (e.g. interview and focus group research, discourse analysis or app walkthrough method) How to apply Apply
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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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(Level A) $78,544 to $105,611 per annum plus an employer contribution of 17% superannuation applies. Fixed-term, part-time position (0.6 FTE) available for 2 years. Grant Funded Early Career
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the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis