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sensing, to improve worker/operator safety. This project will focus on using density functional theory calculations and ab initio molecular dynamics simulations. The project is a collaboration with Dr
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(or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, computer science, information systems, media studies). Have strong social research (quantitative/qualitative
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submit your academic CV to the designated supervisor for consideration. The awarding of the PhD scholarship is contingent upon successfully passing the interview process. Please submit your academic CV
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your academic CV to the designated supervisor for consideration. The awarding of the PhD scholarship is contingent upon successfully passing the interview process. Please submit your academic CV
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study), with a possible extension of six months. This amount is subject to indexation annually. International candidates in receipt of this scholarship are also awarded an RTP International Tuition Fee
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Work with immunologists, bioinformaticians and clinical trials to better understand the effects and long-term complications of COVID-19 on the immune system, or the response to COVID-19 vaccines in
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These models are technology platforms that facilitate drug discovery and fundamental research. Our research is funded by Australian Research Council. This project aims to develop bio-microfluidic
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PhD Scholarship in ‘Using nanoparticles to enhance the immune response and improve vaccine efficacy’
to generate a strong immune response, capable of protecting against severe diseases such as cancer or malaria. The value of the Scholarship is equivalent to an RMIT full Scholarship This Scholarship will be
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This is an exciting opportunity to examine how in this new pandemic world, healthcare as we know it will and must continue to innovate and adapt, leveraging digital health innovations to its full
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Software testing is a crucial phase of the Software Engineering process, often accounting for a significant portion of project budgets due to the effort required for manual test generation