618 computational-science-"IMPRS-ML"-"IMPRS-ML" positions at Monash University in Australia
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My primary areas of research activity are two fold: first, studing thermonuclear (X-ray) bursts from accreting neutron stars; and second, searches for optical counterparts of gravitational-wave events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve...
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imaging centres in Australia, hosting many cutting-edge imaging equipment for biomedical imaging research. The Department of Data Science and AI, Faculty of IT is home to many world class research programs
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This project will explore the security and privacy challenges inherent in the tokenization of real-world assets (RWAs) using the blockchain technology. As industries increasingly adopt tokenization
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/C++) computer codes implementing a cryptographic algorithm. Although desired, background in advanced cryptography is not a must. Application of a PET algorithm to solve a real-life problem: This
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the environment and drives innovation. This role is focused on growing philanthropic support across Monash’s world-leading Humanities, Arts and Social Sciences (HASS) faculties, including the Faculties of Arts, Art
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scholarship value Up to $30,000 Number offered Three See details Chau Yee Gan Pharmacy and Pharmaceutical Science International Merit Scholarship I am truly honoured to receive this scholarship, which greatly
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knowledge that positively impacts the world. Monash University’s research support services in Animal Ethics support research activities in biomedical research, pharmaceutical sciences, and ecology and
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background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants. The student should also know how to program with either Matlab, Java, or Python. Ideally
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the Faculty of Medicine, Nursing and Health Sciences, to access a Monash education Applications Not offered in 2025 Total scholarship value Up to $30,000 Number offered One at any time See details Madeline May
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic