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-structure noise and rapid regime shifts. Integrate real-time data streams. You will experiment with heterogeneous inputs like tick-level prices, news sentiment, order-book depth, macro indicators and
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forms part of a research program at Monash University focused on advancing requirements engineering for space missions. The project investigates how mission briefs, system models, and regulatory texts can
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three-month industry engagement component with Energy Queensland Ltd a structured professional development and training program to develop your applied research skills. Successful students are subject to
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anticipate the student will use statistical methods that include descriptive statistics, generalised linear models (GLMs) and structural equation models (SEMs). Supervisors: Professor Deb Loxton and Professor
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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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to integrate next generation satellite radar (InSAR) monitoring for ground motion with Global Navigation Satellite Systems (GNSS) positioning devices. This will focus on test sites where the student will
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support is available through research and teaching assistance work. Current opportunities As a candidate in the CHE Integrated PhD Program , you will receive rigorous training in advanced health economics
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advances in process-based crop models such as APSIM, their integration often remains limited. This project proposes to get more out of on-farm data streams and process models through their more formal
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PhD Scholarship This ARC-funded project investigates cascading influences of cardiovascular and cerebrovascular health on brain structure/function and cognition in healthy older adults, by comparing
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Martin Australia invite applications for a project under this program, advancing robotic perception systems through monitoring of their machine learning models. Run-Time Monitoring of Machine Learning