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analysis, particle analysis, electron microscopy, and synchrotron technology. The candidate should have experience in one or more of the following research areas: Mineral Processing, Chemistry, Chemical
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immune responses to promote T cell-mediated tumour clearance. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour
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related discipline Extensive lab experience is required, especially with bulk materials handling Knowledge of iron ore granulation and sintering is desirable Strong data analysis skills in Excel and Matlab
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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
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) design and analysis skills. Provide evidence of strong oral and written communication skills. Meet RMIT University's entry requirements for the Higher Degree by Research programs. The scholarship is open
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Post-Quantum Cryptography (PQC) Migration”. This Project develops techniques for the migration to post-quantum cryptography (PQC) to secure critical infrastructure from quantum attacks. The expected
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System (GLASS) in 2015 to monitor this issue, but critical data gaps remain in monitoring significant pathogens. Current data suggests that currently between 1-5 million people die annually from AMR
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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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as well, resulting in increased survival. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour flowcytometry (up to 27
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and correlates will differ between younger adults and the elderly, and females compared to males. Methods: The laboratory uses world-class big-data ‘omics’ analysis of blood immune cells, including