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: Contribute to the design, manufacture and delivery of a prototype field-deployable quantum sensing device. Support the development of project plans and schedules and participate in planning processes as
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experience in at least one of the following would be highly regarded: (i) the theory and simulation of scattering, diffraction and imaging with high energy electrons or X-rays; (ii) solving inverse scattering
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pivotal role in coordinating and delivering the University’s annual budgeting and forecasting processes. This is a unique opportunity to collaborate across departments, streamline financial planning, and
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overall recruitment process. Other key accountabilities of this role include: Development of institutional Graduate Research agreements and MoUs by liaising with relevant internal and external stakeholders
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, Payroll, Academic Workforce Operations, and P&C Systems. Your leadership will drive service excellence and continuous improvement across our people systems and processes, ensuring they remain responsive
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. Proficiency in deploying and managing wildlife camera‑trap networks and processing large image datasets. Experience developing and validating machine‑learning and AI models for image object detection and
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This project aims to develop robust algorithms capable of identifying and analyzing fingertips extracted from both static images and video footage. Machine learning techniques, particularly computer
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experience in electrochemical sensor technologies, including surface chemistry, functionalisation, and biomarker detection Proficiency in signal processing, prototype design and integration, and
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include: i) resolution of the dynamics and evolution of the primary and secondary atomization zones with a view to optimize and control spray formation processes. The e-fuel blends will include miscible and
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achieve recognition and impact in the research area, design PCBs and develops FPGA code, develop image signal processing systems and sensor motion control, collaborate on the assembly, alignment, and