12 phd-in-integrated-circuit-design PhD positions at Flinders University in Australia
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This Industry Enterprise PhD Scholarship will support the successful candidate to undertake a PhD to investigate and co-design an evidence-based Young Carers service model in partnership with Young
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-performing PhD candidates who are passionate about improving health outcomes through technological innovation. We have 4 PhD scholarships available at $40,000 which will be allocated from this list
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academic transcript Step 2: Apply for Admission: Applications for PhD admission and the scholarship are separate. If you have not already applied for admission to a relevant HDR program, you must do so via
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://handbook.flinders.edu.au/courses/2025/phd and instructions on how to apply for admission: https://www.flinders.edu.au/study/apply/apply-research-degree/how-to-apply Scholarship Applications Please provide the following as
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We are seeking an outstanding candidate for a PhD project as part of a larger Australian Research Council DECRA Fellowship entitled ‘Tackling the consumption of sexual violence on screen’, led by
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We are seeking an outstanding candidate for a full-time Indigenous PhD scholarship as part of a national project associated with the Monitoring, Evaluation and Learning arm of Movember’s newly
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the application for this scholarship The application for PhD admission will only be assessed where: o The applicant is successful in being awarded the scholarship OR o The applicant confirms in the application
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Change lives and change the world with impactful PhD research co-funded by Flinders and CyberCX. Receive a $35,010.00 per annum (indexed annually) scholarship tax-free for up to 3.5 years Apply your
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Are you passionate about AI and want to make a difference in healthcare? Join our team to lead a groundbreaking PhD investigating how generative AI tools (like ChatGPT and Gemini) can be safely used
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Help shape the future of cancer care through better data. This PhD scholarship offers the opportunity to work with a leading research team using clinical trials and real-world data to build machine