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optimization of multi-modal LLMs. Investigate and implement methodologies to ensure AI authenticity, accountability, and the integrity of digital content. Develop and refine machine learning and deep learning
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Responsibilities: Finance: Keep track of expenditure and remaining budget in an organized manner, ensure that the spend is optimized and on track with respect to goals set for the grant; prepare financial and
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coordinating transformation activities, optimizing system setups (such as SharePoint), developing Standard Operating Procedures (SOPs), and facilitating knowledge-sharing initiatives. Working closely with
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statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, approximation theory etc. The positions will be suitable for candidates with an interest in high
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administration. Key responsibilities include but are not limited to: Coordinate class and exam timetables, and manage module allocations to optimize student learning. Provide administrative support for course
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troubleshooting and optimization to maintain service continuity and quality. Implement and maintain robust network security measures, enforce access controls, and ensure compliance with relevant cybersecurity
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Responsibilities: Conduct programming and software development for big data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations
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solid particle transport. The successful candidate will contribute to the creation of an AI-optimized platform capable of achieving up to 50× speedups in simulation performance, enabling real-time, energy
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to promote SAO programs and activities; analyse and adjust strategies for optimal effectiveness. Create, write, and edit content and messaging for newsletters, websites, publicity emails and promotional
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development and optimization of plasma-based PVD and CVD processes for advanced material applications. Operate and maintain semiconductor analysis and metrology tools to evaluate thin film and device properties