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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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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
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students may be considered subject to the approval of the Fight Food Waste CRC High quality applicants with relevant background to email their Resume and Application letter to Associate Prof Asgar Farahnaky
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" section of the How to apply page . Discuss application with A/Prof Ryan Kelly . When submitting the EOI to RMIT, candidate should provide evidence of written support that Ryan is putting the candidate
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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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research and analytical skills Some prior experience with material synthesis and characterisation is desirable Please contact key contact Prof Weiwei Lei, to discuss your suitability and the project
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interdisciplinary setting including immunologists, clinicians and, bioinformaticians and biologists. Experience in tissue culture. To apply, please submit the following documents to Prof. Magdalena Plenbanski and Dr
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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