297 data-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Monash University
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to cloud-based machine learning services, on-device ML is privacy-friendly, of low latency, and can work offline. User data will remain at the mobile device for ML inference. Problems: In order to enable
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the Monash Initiative for Rapid Research into Antisemitism has several advantages. The candidate will be integrated into an active research agenda and will have access to support for data collection, fieldwork
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health outcomes. The Research Officer will support dietary intervention trials by managing data, processing samples, preparing documentation and assisting with ethics submissions. You will help ensure
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maintain service standards, including prompt issue resolution, data integrity and adherence to privacy, confidentiality and compliance requirements. Ideal candidates will bring a strong educational
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, collect and interpret data, and maintain efficient administrative systems. Demonstrated understanding of the issues related to increasing participation in higher education of under-represented groups
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Employment and Economic Council Build strong partnerships across the University and with external stakeholders Oversee research, data insights and continuous improvement activities About You You bring deep
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based on available funding. Selection criteria Based on academic achievement. How to apply Can be deferred if the Industry partner agrees. Further information is available on the Engineering Co-operative
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improvement of the system, coordination with the users and other key stakeholders (internal and external) to ensure data accuracy and system integrity, and ensuring the system meets the University’s strategic
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the relevant faculty before beginning your application. For more information visit our website or contact our Graduate Research Admissions team on E: mgro-apply@monash.edu or T: +61 3 99051538
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shape health, employment, and wellbeing outcomes for individuals and families. The successful candidate will join a highly collaborative research team using linked employer–employee administrative data