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                , this role will apply their expertise in stem cells, epigenetics, development, and cell biology to lead and contribute to cutting-edge research in cancer development and treatment. To be successful you will 
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                PhD scholarship opportunity: Bias in generative AI-driven decision systems Job No.: 680086 Location: Caulfield campus (with possible collaborations at the Clayton campus as needed) Employment Type 
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                , this role will apply their expertise in stem cells, epigenetics, development, and cell biology to lead and contribute to cutting-edge research in cancer development and treatment. To be successful you will 
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                of endeavour including (but not limited to) employment, education, health, communications, engineering and science. Scholarship 2: Advancing gender equity and inclusion in Australia Open to Australian citizens 
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                PhD Scholarship in History Job No.: 684435 Location: Clayton campus Employment Type: Full-time Duration: 3.5 years fixed-term appointment Remuneration: The successful applicant will receive a 
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                : implementation science or qualitative research diabetes foot disease research and/or clinical practice. How to apply The first step is to email Associate Professor Peter Lazzarini detailing your academic and 
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                separation into purer fractions at CSIRO. The potential benefits include generating dry fractionated purified ingredients that food processors can use to create novel food products. This research scholarship 
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                PhD Scholarship Opportunity – Software Engineering for Social Good Job No.: 677910 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment The Opportunity 
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                PhD Scholarship in Philosophy Job No.: 685195 Location: Clayton campus Employment Type: Full-time Duration: 3.5 years fixed-term appointment Remuneration: The successful applicant will receive a 
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                children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers