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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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PhD project to develop theoretical computations and modelling methods to guide and optimise the synthesis conditions and composition of electrocatalysts. PhD project to develop theoretical
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admission requirements meet university English language requirements not have previously completed a PhD be able to commence the program in the year of the offer enrol as a full-time PhD student To be
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computing technologies; be an Australian citizen, Australian permanent resident or an international student meeting the minimum English language requirements; provide evidence of adequate oral and written
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This PhD scholarship is for motivated researchers interested in developing advanced catalysts for ammonia synthesis and combustion, contributing to sustainable hydrogen storage and clean energy
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We are seeking applicants interested in communication design, digital learning design and youth arts to undertake a PhD that exploring online frameworks for capturing learning experiences in youth
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unique ovarian cancer animal model and blood samples from multiple human clinical trials. The PhD candidate: The preferred PhD candidate will have done an Honours or Masters in either immunology, oncology
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pipelines to analyse big volumes of metagenetic data. The analysis pipeline will roughly use packages such as trimomatic, FastQ screen, centrifuge/kraken and many more. The PhD candidate: The preferred PhD
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immunological techniques, e.g. ELISA, ELISPOT, immunohistology, proliferation and functional immune-cell assays. The PhD candidate: The preferred PhD candidate will have done an Honours or Masters in immunology
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problem-solving skills. Please submit your academic CV to the designated supervisor Javad Tavakoli , for consideration. The awarding of the PhD scholarship is contingent upon successfully passing