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referees. The immune system plays a pivotal role in cancer prevention, development and therapy. We are currently interested in two natural compounds that have the potential to modulate immune responses and
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This PhD Scholarship is funded by 2022 ARC Discovery Project “Modelling temporal evolution in spatial ecology with dynamical point processes". The world is undergoing rapid environmental change
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This PhD scholarship is for candidates interested in developing culturally inclusive AI by creating methods and datasets to align large language models with global social and legal norms. This PhD
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the interview process. Please submit your academic CV to the designated supervisor Javad Tavakoli , for consideration. The awarding of the PhD scholarship is contingent upon successfully passing the interview
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, Australian permanent resident or an international student meeting the minimum English language requirements. provide evidence of adequate oral and written communication skills. meet RMIT’s entry requirements
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Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the standard stipend. Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the...
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality
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details of two referees. Evidence of English proficiency may be required. Research area: chemistry, chemical engineering, mineral processing, chemical sensing, environmental science or geochemistry
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process from biomass. In the PhD program, you will be involved in working with a multi-disciplinary team. You will be conducting experiments and developing phenomenological models to understand the graphite