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passionate about building software that drives positive outcomes? As a Research Software Engineer at the Environmental Informatics Hub, you will play a central role in designing, building, and maintaining
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We have several PhD, Research Assistant (RA) and master research thesis’s opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS,...
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various skin condition/s. Relevant resources: DOI: https://doi.org/10.1007/978-3-031-43987-2_20 DOI: https://doi.org/10.1007/978-3-031-43907-0_54
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. For more information on the work we do, please visit our website: http://www.monash.edu/vpfinance The Opportunity The Deputy Director, Category Management is a senior leadership role within Strategic
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. For more information on the work we do, please visit our website: http://www.monash.edu/vpfinance The Opportunity The Deputy Director, Strategic Sourcing is a senior leadership role within Strategic
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diverse learning experience within the JD program. Applications See below Total scholarship value Tuition fees paid Number offered Variable See details Dylan Thomas Glatz Monash Juris Doctor Law Dean's
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science to improve health outcomes for women and their families in public healthcare settings. Your PhD research will form part of a wider research program focused on implementing lifestyle improvement
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Synthetic data generation has drawn growing attention due to the lack of training data in many application domains. It is useful for privacy-concerned applications, e.g. digital health applications based on electronic medical records. It is also attractive for novel applications, e.g. multimodal...
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research projects will be embedded in a wider research program funded by an NHMRC Ideas Grant focused on advancing adaptive platform trials by incorporating new external research as it emerges. The two PhD
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Many machine learning (ML) approaches have been applied to biomedical data but without substantial applications due to the poor interpretability of models. Although ML approaches have shown promising results in building prediction models, they are typically data-centric, lack context, and work...