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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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program. Skills and Experience To be considered for this position, you will have PhD degree or equivalent accreditation and standing recognised by the University/profession as appropriate for the relevant
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computer science or other relevant discipline, and evidence of participation in higher level study relevant to discipline or professional area. Evidence of experience in research and evaluation and the ability
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at an allocated clinical school for the third year of the program, with all relevant theory and clinical placements provided within clinical school networks. Bachelor of Nursing/Bachelor of Midwifery students
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students are based at a clinical school for the third year of the program, with all relevant third-year theory and clinical practicums provided within the clinical school networks. Bachelor of Nursing
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Full time 3-year fixed term contract Level B Research Only La Trobe Bundoora campus location About the position La Trobe University’s School of Humanities and Social Sciences is strengthening its
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University of Melbourne, The Kids Institute, and associated research higher degree student(s). The appointee will have completed a PhD in applied mathematics, computer science, or a related discipline. Ideally
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resources and researchers who work with industry and Government to address the sustainability and liveability issues facing global communities. PhD students in our Joint Doctoral Degree Program will have
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Australian or New Zealand citizens or Australian permanent residents newly enrolling in a PhD. Students undertaking the joint PhD program will be enrolled in a PhD at both institutions. Your supervisory team