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, identifying molecular disease signatures and matching them with the most effective therapeutic interventions are essential. The Hudson‐Monash Paediatric Precision Medicine (HMPPM) Program aims to develop and
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Assistant Grants Officer (Awards) Job No.: 681290 Location: 211 Wellington Road, Mulgrave Employment Type: Part-time, fraction (0.6) Duration: Fixed-term appointment until the end of the academic year 2025 Remuneration: Pro-rata of $83,424 - $95,825 pa HEW Level 5 (plus 17% employer...
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Artificial Intelligence (AI) is revolutionizing the field of Magnetic Resonance Imaging (MRI) by enabling faster, more accurate, and cost-effective image reconstruction. This project explores cutting-edge AI methodologies, focusing on combining data-driven approaches with physics-informed models...
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, computer games) and a wide variety of solution methods have been proposed. Once a plan is computed, execution proceeds under the supervision of a human operator who is free to modify and adjust the plan
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their customers' data and providing legal mechanisms for customers to access and control such data, the same cannot be said for data collected in research studies. Numerous problems abound, including low levels
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home. This has allowed me to dedicate more time to my studies as well as to other things to promote my leadership skills, such as through the Access Monash mentoring program. This opportunity has only
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and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
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Ability to work independently and collaboratively within an interdisciplinary team Excellent organisational, communication, and interpersonal skills Advanced computer skills, including Microsoft Office and
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program – it’s an opportunity to reinvent how students connect, engage, and succeed at University. What You’ll Be Doing: Own the transformation. Lead the business analysis activities in a cross-functional
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Discovery Project, this research aims to develop highly novel physics-informed deep learning methods for Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET) and applications in image