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1 September 2026 (earlier start dates welcome). The fellow will work with Professor James Zeng on empirical research at the intersection of law and Finance in China. Candidate profile: PhD in Finance
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of law and Finance in China. Candidate profile: PhD in Finance, Accounting, Economics, or a related field (in hand or expected by start date) Strong publication record or a promising pipeline of working
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or no later than June 1, 2026, for one year, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree (for Postdoctoral Fellow) or a
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laboratory management, training, and method development Requirements PhD in Earth Sciences, Chemistry, or a related field Hands-on experience with MC-ICP-MS, TIMS, and nitrogen and noble gas analysis
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scientifically sound. Ensure all AI models are developed with considerations for fairness, ethics, and transparency. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics
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security, privacy, and governance protocols. Requirements PhD degree or above in Epidemiology, Data Science, Statistics, Information Systems, Computer Science, or related disciplines. Minimum 3 years
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excellence and continuous methodological improvement. Collaborate with the Data Scientist (AI) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology
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) to integrate advanced AI/ML techniques into the RWE generation pipeline. Requirements PhD degree in Epidemiology, Data Science, Statistics, Computer Science, Informatics or related disciplines. Preferably
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stakeholders and external clients/sponsors. Ensure all data handling and analysis comply with stringent data security, privacy, and governance protocols. Requirements PhD degree or above in Epidemiology, Data
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. Requirements PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. Minimum of 5 years’ experience in data engineering, data ops, or AI/ML data