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models Uncertainty estimation and calibration Failure and out-of-distribution detection Adaptive and selective computation Model routing and dynamic inference Generalisation to unseen environments Embodied
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Centre for Health Economics, Monash Business School, Integrated PhD Program 2027 Fully Funded 4.5-Year PhD in Health Economics - Monash University (Melbourne, Australia) Job no.: 625101 Location
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package should be prioritised are surprisingly difficult computational tasks. State-of-the-art high-performance algorithms are used to calculate routes for the vehicles in order to minimise costs and
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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Focus The PhD candidate will undertake research including: Experimental characterisation of aerosol generation, plume structure, droplet-size distribution, velocity fields and entrainment in a jet
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federated learning and multimodal deep learning models for healthcare. The project will focus on enabling privacy-preserving learning from distributed healthcare data sources, including longitudinal medical
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, and multimodal deep learning approaches that enable privacy-preserving learning across distributed healthcare data sources Support health outcomes with research in transformative applications in
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research at leading international conferences. Indicative total stipend: approximately $54,280+ per annum (tax-free), plus up to $13,265 in travel support and access toEmotiv neurotechnology, computing and
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, stakeholder engagement, and strategic uplift. You are comfortable operating in complex environments, leading distributed teams, and driving clarity and performance in high-pressure situations. You will bring
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distribution functions. Total content of H2 in the solar neighbourhood and nearby galaxies and how they compare to other gas/dust tracers. Extinction mapping from resolved stars in nearby galaxies. Studying mass