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The Mymobility Scholarship is funded by Zimmer Biomet to support a full-time PhD student who is commencing research in orthopaedics and patient monitoring. Mymobility was developed by Zimmer Biomet
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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the youth residential care industry. This fully funded PhD scholarship offers the chance to work alongside leading researchers in residential care, systems thinking, and worker wellbeing at a world-class
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pioneering PhD project in partnership with ANCA, a world leader in CNC grinding machines and motion control systems. Supported by the prestigious Growth SUPRA PhD Scholarship, you'll join a dynamic research
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overall or higher or equivalent. Have an experience with analytical and numerical solution methods for partial differential equations and working knowledge of Matlab and Latex. A full list of selection
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the application for this scholarship The application for PhD admission will only be assessed where the applicant is successful in being awarded the scholarship Prior to submitting an application for the scholarship
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engagement or workshop facilitation Interest in multi-method or mixed-method research approaches Note: applicants who already hold a PhD degree will not be considered. Research Environment You will be based in
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Opportunity to help develop a novel nanophotonic therapy targeting drug-resistant hypertension Full-time, fixed term (3.5 years) position at our Hawthorn campus Annual stipend $40,000 About the Role We are seeking a highly motivated and skilled graduate in chemistry, materials science, chemical...
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biological tissues. Expertise in Multiphysics simulation software (e.g., COMSOL) and programming languages (e.g., MATLAB, Python, C++). Experience with biophotonics applications, such as endoscopy, optical
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PhD Scholarship - Movement Metrics for Physical Health Job No.: 682825 Location: Clayton Campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful