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meaningfully to HR initiatives while developing your skills in a dynamic and respected HR function. Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres
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, and their decisions can be confusing due to brittleness, there is a critical need to understand their behaviour, analyse the (potential) failures of the models (or the data used to train them), debug
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partially observable Markov decision processes (POMDPs). Methods in Ecology and Evolution , 12 (11), 2058-2072.
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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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will study the development, adoption, and implications of digital technology and insurance—such as tools for capturing individualised data about behavioural risk factors and automating enforcement
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bad data management practices. Whilst many of the problems of research data governance are well understood, very little research has been conducted into developing new technical infrastructures
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teaching, research, and professional engagement Lead staff development, performance management and equitable workload distribution Build strong relationships across Monash and with national and international
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aims to improve efficiency and privacy of federated learning for mobile health sensing data by proposing a multi-level (mobile-edge-cloud continuum) federated learning architecture and develop context
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evaluation, the project seeks to develop privacy-preserving frameworks, security benchmarks, and design guidelines that enable trustworthy, user-centric digital credential ecosystems for global education.
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My research focusses on understanding stars: their evolution and chemical composition, and how they move throughout our galaxy. Most of what we know about the universe comes from starlight, but