245 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Monash University
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. The increasing availability of electronic health records, clinical measurements, medical imaging and longitudinal health data provides opportunities for Artificial Intelligence (AI) and Machine Learning (ML
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This PhD project will develop intelligent, data-driven methods that enable electric vehicles (EVs) to serve as mobile energy storage while remaining readily available for transportation
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research focused on chronic lung disease and supportive care. This Research Assistant position will support a range of clinical research activities, including quantitative and qualitative data collection
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progression can make early identification and risk assessment challenging. The increasing availability of clinical, demographic, hormonal, metabolic and longitudinal health data provides opportunities
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across the University. You’ll play a key role in identifying opportunities to streamline, digitise and automate financial processes, while delivering insightful analytics through data extraction, reporting
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, and advance diagnostic timelines to improve overall survival outcomes. 2. Data Preprocessing & Predictive Modeling The study utilizes multi-modal clinical and laboratory data, integrating basic
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data provides opportunities for advanced Machine Learning (ML) approaches. Research Aim This PhD research aims to develop advanced Machine Learning methods for prediction, risk stratification, clinical
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This PhD project will develop intelligent, data-driven methods for integrating diverse autonomous vehicles, such as buses, shuttles, pods, cars and micromobility vehicles, into public transport
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graphics. Instead, they rely on alternative text descriptions, which are often incomplete or inadequate. This project will explore a transformative approach to making graphical information accessible
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evolution, chemistry and morphology. This project will investigate how machine learning can learn physically meaningful representations directly from these data and help understand how materials evolve during