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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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Doctor of Philosophy (PhD) on Australian Green Ironmaking Scholarship Opportunities at Faculty of Engineering Job No: 685999 Location: Clayton campus Employment Type: Full-time Graduate Research
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well as alongside two PhD students also funded to work on the project. The research will be supported by Monash’s world-class research infrastructure in electron microscopy. This includes the Monash Centre
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Doctor of Philosophy (PhD) on Phase Transformations in Advanced Steel Design Scholarship Opportunities at Faculty of Engineering Job No: 685997 Location: Clayton campus Employment Type: Full-time
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exciting, rewarding directions The Opportunity: We are seeking expressions of interest talented candidates who wish to apply for a PhD to undertake research in digital health technology and implementation
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Empirical studies in Information Visualisation research have become more commonplace in the past two to three decades. While formerly the research focus was primarily on utilising the power of novel
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models for deployment in real-world driving scenarios. Required knowledge First-class bachelor’s honours or master’s degree in computer science, engineering, or a related field. Alternatively, second upper
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subject line: EOI – PhD Scholarship – AI Bias – [Your Full Name]. Your EOI must include the following: Curriculum Vitae (CV), including details of academic qualifications, research experience, publications
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the reliability of data to inform data collection strategies and monitoring techniques. The focus of this PhD study is the management of interactions between pollinator insects, such as bees, and the wild native
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(hiPSCs) Cardiac directed differentiation CRISPR genome editing Multi-omics (RNA-seq, ATAC-seq, etc.) 3D cardiac organoids and engineered heart tissues If you are motivated by solving complex biological