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Application dates Applications close30 June 2025 What you'll receive You'll receive a stipend of $33,637 per annum for a maximum duration of 3.5 years while undertaking a QUT PhD. The duration includes an extension of up to six months if approved for your candidature. This is the full-time,...
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, including members specialising in biology, microfluidics, machine learning and clinical research from RMIT University and Leading Technology Group (LTG). LTG is an Australian group of medical research
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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 in medicine — and how we can stop them being misused to spread health disinformation or pose...
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Using finite element modelling (FEM) to simulate different hole configurations and validating these models with cadaveric femur specimens, this study will provide crucial insights to optimise surgical techniques and improve implant longevity. Using finite element modelling (FEM) to simulate...
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medical education, research, clinical practice, community engagement and the development of better prevention and public health policies in rural and remote areas. This position will act as a project
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to frailty assessment could be beneficial. Manual measurements from CT scans, however, are labor-intensive and subject to observer variability. The advent of deep learning in medical imaging presents a
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Status: Closed Applications open: 1/07/2024 Applications close: 18/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information Project Overview The mental health of our healthcare workforce is at crisis point. Working within emergency medicine is associated...
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well as other security/medical/character clearance requirements. Flexible Working Arrangements We work flexibly at CSIRO, offering a range of options for how, when and where you work. Diversity and Inclusion We
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CSIRO Industry (iPhD) Scholarship - Advancing Medical Diagnosis with Multimodal LLM and Agnostic AI Agents This project investigates the use of agnostic AI and multimodal LLMs to improve medical