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Doctor of Philosophy (PhD) in Machine Learning for In Situ Materials Characterisation Job No.: 698995 Location: Clayton campus Employment Type: Full-time Graduate Research Degree: 3291 - Doctor
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problem-solving and communication skills The ability to work independently and as part of a multidisciplinary research team. Qualifications: Applicants should hold, or be close to completing, a Bachelor
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demonstrates some understanding of the area of research A curriculum vitae, including a list of any published works, conference presentations and relevant work experience A full statement of academic records
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interventions This program includes work across medicine, computer science, and AI with an international team of researchers and industry partners to develop safe, scalable AI systems for behaviour change
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analytics to provide rapid hydration insights. Accurate hydration assessment is important for athlete performance, recovery, workplace safety and health monitoring in heat-stressed environments. However, many
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the cost of your tuition fees for the first four full-time equivalent years of your doctoral studies. As the scholarship recipient, you will have the opportunity to work with a team of leading researchers
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· Scientific writing and publication · Research presentation and stakeholder engagement · Collaboration with multidisciplinary and consumer-inclusive research teams The candidate will work
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communication skills and the ability to work effectively within a multidisciplinary team LanguagesENGLISHLevelExcellent Research FieldMedical sciences » Cancer researchBiological sciences » Biological
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not exceeding 500 words stating your suitability and research interest. A curriculum vitae including peer-reviewed publications, conference presentations, and relevant research/work experience. Scanned
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outlining your research interests and motivation for a PhD (maximum 1 page). A CV including qualifications, achievements, publications, work history, and two references. A copy of your academic transcript(s