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data annotation (brat), Python scripting, and integrating optimization techniques such as fine-tuning, Chain-of-Thought, and Retrieval Augmented Generation to enhance LLM outputs. Experience in creating
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Areas: Applied Optimization and Operations Research / Data Science and Analytics / Applied Statistics and Financial Mathematics / Engineering and Computational Mathematics / Mathematical Science Appl
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using one of the software including STATA, Python, R, or Matlab; and (c) completion of undergraduate or post-graduate level courses in Statistics and/or Optimization with good grades. Preference will
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the research project - “Mechanism and optimization for hospital bed sharing”. Qualifications Applicants for the Research Fellow post should have a doctoral degree plus at least three years of postdoctoral
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to optimize performance; Lead efforts to enhance clinical service quality and patient safety, including but not limited to clinical audit reviews, adoption of new drugs and technologies, credentialing, evidence
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qualification; (b) have the background in operations management, and be skilled in multi-criteria decision making, multi-objective optimization and modelling; and (c) be proficient in English. Applicants
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: Applied Optimization and Operations Research / Data Science and Analytics / Applied Statistics and Financial Mathematics / Engineering and Computational Mathematics / Mathematical Science Appl Deadline
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goals Identify and integrate emerging technologies (e.g. cloud computing, AI and data analytics) to optimize university operations and user experiences Stakeholder Engagement: Collaborate with academic
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and other stakeholders that leads to transparent decision-making; (g) ensure optimal deployment of human, financial and other resources in LEI; and (h) undertake other duties as assigned by the Vice
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computational screening, or machine learning for materials property prediction is essential. Candidates with prior experience in developing AI models for accelerated materials discovery, optimization of material