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decision-making and research findings. Qualifications & Competencies: Minimally a PhD degree in Artificial Intelligence, Computer Science, Optimization, or a related field. Strong foundation in multi-agent
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application like drug delivery. Key Responsibilities: The Research Fellow will work on a cross-disciplinary project at the intersection of mechanics, acoustics, design optimization, and advanced manufacturing
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the industry to lead and/or conduct innovative research on, but not limited to evolutionary computing, job scheduling, transfer optimization, transfer learning, reinforcement learning, large-scale
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reports. • Search Engine Optimization (SEO): Implement basic search engine optimisation best practices to improve website visibility. • Technical Liaison: Coordinate with IT/web developers for major
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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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photocatalytic degradation of Per- and Polyfluoroalkyl Substances (PFAS) with optimized COFs Look for necessary collaborations with internal or external collaborators (e.g. theoretical modelling and advanced
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a Research Assistant to undertake advanced research at the intersection of resilience and operations research. This position focuses on applying methodologies from decision optimization, big data
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processes and develop innovative tools in cell biology. Key Responsibilities: Conduct experimental research using quantitative biochemistry, biophysics, and cell biology. Develop and optimize advanced
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functionality, safety compliance, resource optimization, and fosters innovation through modernizing workflows and process enhancements. Collaborating closely with researchers, students, and faculty, you will play