616 computer-science-intern-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Monash University
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Technical Platform Lead Job No.: 690152 Location: Clayton campus Employment Type: Full-time Duration: 3 year fixed-term appointment Remuneration: $140,157 - $148,769 pa HEW Level 09 (plus 17% employer superannuation), although a competitive remuneration package can be applied for an experienced...
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-quality research support across a diverse portfolio of health services research, implementation science and evidence synthesis projects. Working closely with the Deputy Director and a multidisciplinary
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functions of the Monash Mildura GP Academy through high-quality professional and administrative services based in Mildura. Working closely with internal and external stakeholders, the role will provide
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professional and innovative approach to individual program design and diligent and proactive supervision of the Fitness Centre. At Peninsula campus you will also be required to provide a high level of customer
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of public health in the Asia Pacific region, recognised for excellence in epidemiology, clinical trials, health services research, evidence synthesis and implementation science. ANZMUSC is an NHMRC Centre
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to access leadership and community engagement opportunities and to support the development of emerging engineering leaders to encourage these talented individuals to enter the mining industry upon completion
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This project will explore the security and privacy challenges inherent in the tokenization of real-world assets (RWAs) using the blockchain technology. As industries increasingly adopt tokenization
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% super Support cutting-edge genome research at a world top 40 health faculty Work hands-on with advanced molecular biology techniques Join a collaborative, research-enabling platform The Opportunity Monash
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research program in genomics in any of its forms and contribute to the education program of the School of Biological Sciences in areas broadly related to your expertise. As a Senior Lecturer you would lead
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testing approaches that can be used to verify that machine learning models are not biased. Required knowledge Software engineering, software testing, statistics, machine learning