676 computational-physics "https:" "https:" "https:" "https:" "U.S" positions at Monash University
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. For current Monash students apply directly to Monash . Every scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by
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Mark (WAM) of 50 each semester. How to apply For current Monash students, apply directly to Monash This scholarship cannot be deferred. Every scholarship may have a different application process – or
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different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details, visit our scholarships application page.
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automatically assessed. This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by
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application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details, visit our scholarships application page .
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this scholarship: You must maintain a Weighted Average Mark (WAM) of 60 each semester. How to apply This scholarship cannot be deferred. Every scholarship may have a different application process – or none at all
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Project Description Recent advances in mixed reality (MR) technology, which seamlessly blend the physical environment with computer-generated content around the user, have reduced the barriers
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, neurodivergent people, and people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments
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My work focuses on experimental research in quantum sensing and quantum microscopy using the nitrogen-vacancy (NV) centre in diamond. In particular, we are interested in applying quantum sensing for examining and imaging the magnetic fields from exotic conducting materials (e.g. superconductors,...
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With success stories ranging from speech recognition to self-driving cars, machine learning (ML) has been one of the most impactful areas of computer science. ML’s versatility stems from the wealth