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will also consider other quantitative disciplines such as data science, mathematical statistics, actuarial science, or public health or psychology with strong statistical training. For full information
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Investigating nutrition and the microbiome Improving symptom control and psychological support Indicative PhD Projects (Examples Only): To illustrate the scope, data access, and clinical impact of the CRE
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the next generation of personalised AI health coaching systems. Students will join a multidisciplinary PhD cohort spanning health, behavioural science, artificial intelligence, data science, and digital
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the delivery of high-quality registry data that informs research, policy, and improvements in trauma care. About the role Reporting to Professor Belinda Gabbe, you will: Coordinate the day-to-day operations of
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standard, will also be considered. • Applicants who already hold a PhD are not eligible. Degree Information • E8009.1 - Doctor of Philosophy (Monash - Bayreuth) Application Information Send a copy of your CV
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standards, testing, version control, CI/CD, cloud deployment and application infrastructure. Solid understanding of system design and application architecture, including RESTful/GraphQL APIs, data flows, UI
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The United Nations Development Programme has identified access to information as an essential element to support poverty eradication. People living in poverty are often unable to access information
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between finance stakeholders and the broader ERP project team, ensuring business requirements are accurately captured and delivered Review, validate and sign off on system configuration, data migration and
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leverage AI, automation and data-driven practices to enhance execution and organisational performance. Partnering with the GCISO & Head of Infrastructure Strategy, you will influence strategic planning
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them with existing approaches. Required knowledge Python programming Machine learning background Image analysis Video analysis