346 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "St" "University of St" uni jobs at Monash University in Australia
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be given to students who attended Coleraine Primary School, St Joseph's School, Port Fairy Consolidated School, St Patrick's Primary School, Balmoral High School or Balmoral Consolidated School
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find
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Indigenous applicants are strongly encouraged to apply. Ideally the applicants will have an excellent academic track record and/or experience in IT or health IT. Knowledge and skills relating to any of the following would be useful: stakeholder engagement, (IT) system design, basic web...
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healthcare, finance, environmental monitoring, and beyond. While recent advancements in foundation models have shown tremendous success in NLP and computer vision, the unique characteristics of time series
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, delivery, governance and reporting. A key focus of this role is serving as Program Manager for the MRFF-funded CALIPSO trial, while also contributing to the coordination and expansion of other national and
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Scholars Program or Bachelor of Pharmacy (Honours)/Master of Pharmacy Scholars Program. No application is necessary. You will be automatically assessed when you make your course application through VTAC
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Content Coordinator - Digital & Online Media and play a vital role in supporting our mission. Headquartered at Monash University, the Centre is a transdisciplinary, multi-stakeholder program aiming
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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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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...
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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...