338 algorithm-development-"Prof"-"Washington-University-in-St"-"Prof" positions at Monash University
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. The project is nested with the Victoria Heart Hospital at Monash Clayton Campus and is focussed on developing and implementing electronic Patient Reported Outcomes Measures (ePROM) systems for heart failure
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monitoring and invoicing, prepare agendas, and take minutes. Office Operations: Manage supplies, organise venues, onboard staff, and ensure health and safety measures are up to date through serving as deputy
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and value everyone's contributions, lived experience and expertise. When you come to work, you can be yourself, be a change-maker and develop your career in exciting ways. This is why we champion
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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop
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the power of LLMs to develop advanced computational methods for the detection and mitigation of misinformation and disinformation. More specific objectives are: To investigate the effectiveness of large
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remuneration package will apply Advance your career in mining! New South Wales-based, with possible interstate site deployments Career development opportunities - training opportunities A competitive
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using data extracted from software repositories. This fine-tuning process aims to enable the models to provide answers to queries related to software development tasks. Examples of such queries include
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to: Complete your research project with excellence; Develop a broad range of skills and professional attributes, and; Make an impact in academia, industry, government or community after graduation. A Monash PhD
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research projects, delivering professional and efficient service. Additionally, you will support, supervise, and train other team members in animal husbandry, techniques, care and welfare. The Senior Animal
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while generating text. Their performance on detecting salient features from visual data is also unclear. In this project, we develop a framework to generate faithful and salient text from mixed-modal data