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MIMIC to real-world electronic medical records from platforms, such as Cerner and Epic. Beyond data engineering, the role includes aspects of data science, such as conducting data analysis, feature
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Project (Next-Generation Solvers for Complex Microwave Engineering Problems). This project aims to design and develop physics-guided, data-driven algorithms that can accurately solve complex microwave
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process design. Collaborating with solution architects, developers, and project managers to support full information technology project lifecycle delivery. Defining Agile stories and epics, and supporting
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quantum algorithms formulating industrial problems to make them accessible to quantum algorithms mapping quantum algorithms to specific use cases and applications optimizing algorithms in the context
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at Griffith University. We are seeking applicants with active research interests in quantum computing, quantum algorithm/software development and applications in decarbonisation who can take full advantage
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to contemporary challenges while mentoring the next generation of leaders. Building on its strong foundation in Optics and Photonics, EECS is expanding its research into quantum algorithms and their industrial
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to real-world electronic medical records from platforms such as Cerner and Epic. Beyond data engineering, the role includes aspects of data science, such as conducting data analysis, feature engineering
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techniques for near-field microwave systems, design and test antennas/antenna arrays for near-field microwave imaging, model and simulate antenna and algorithm performance, participate in lab testing, write
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scheduling, data collection, and class allocation, ensuring alignment with academic requirements and institutional timelines. Team Supervision & Support Supervise and support timetabling staff, overseeing
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works closely with the timetabling team to ensure accurate scheduling, responsive service delivery, and continuous improvement of timetabling processes. The Senior Timetabling Officer also contributes