639 assistant-professor-computer-science "https:" "https:" "https:" "https:" "https:" positions at Monash University
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evaluation Applications of AI in biomedical research This project is suitable for students with an interest in genetics, computational biology, or data science. A background in statistics, computer science
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Modern map-based systems and location-based services rely heavily on the ability to efficiently provide navigation services and the capability to search points of interests (POIs) based on their location or textual information. The aim of this project is to build a next-generation navigation...
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value Up to $6,000 Number offered One See details Bachelor of Medical Science and Doctor of Medicine Imogen This scholarship has contributed to my achievement of publishing my first paper as
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immersive and educative programs and initiatives within Parbinata, ensuring culturally grounded program design, sustainability and long-term impact. Oversee the end-to-end design, and delivery of significant
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I supervise a wide range of projects in stellar astrophysics, with a focus on low and intermediate-mass stars, which have masses similar to or slightly larger than our Sun. This work is carried out within the Centre of Excellence for Astrophysics in 3D: ASTRO 3D. As a member of my group, you...
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI
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Future Fund–supported program (2026–2030) to strengthen evidence on addiction, self-harm and mental ill health. The multidisciplinary study will analyse 20 years of binational cohort and cross-sectional
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available at one time. In non-stationary environments on the other hand, the same algorithms cannot be applied...
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of the Monash Initiative for Rapid Research into Antisemitism, led by Associate Professor David Slucki. The Initiative supports rigorous, policy-relevant and publicly engaged research on antisemitism