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using real-world data. The post holder will work with large healthcare datasets, electronic health records, and registry data, while engaging with clinical and data science teams to represent statistical
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Details Title Postdoctoral Fellow, Digital, Data, and Design Institute - Digital Reskilling Lab School Harvard Business School Department/Area Position Description The Digital Reskilling Lab, led by
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instance. About you The successful candidate will have skills in advanced quantitative methods including longitudinal data analysis using large-scale administrative and cohort data. Further particulars
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experience and expertise in web-scale data curation, development of large language models (LLMs), and in-depth LLM evaluation. LTG has a strong commitment to open-source resource and software development
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large administrative or claims data (e.g., Medicaid, commercial claims, or similar) Clear scientific writing and communication; a track record of publications Special Instructions Please include: · CV
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well as large-scale GPU computing facilities for deep learning. Our Lab aims to hire a Research Fellow to lead a research project on Real-World Deepfake Detection and Image Forgery Localization. The role will
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to support personalized lifestyle interventions and clinical decision-making for chronic disease management. Perform large-scale data integration and analysis, ensuring data quality, security, and compliance
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supercomputer for large-scale simulation and adversarial testing The project also includes industrial validation with social robotics platforms (e.g., QTrobot) for deployment in educational and special-needs
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medicine in neurodegenerative disorders. The ResiliDem project aims to identify resilience and risk factors for Alzheimer’s disease and related dementias by integrating large-scale human genetic data with
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processes. Projects can include assembling, sharing, integrating, and advanced analysis of large amounts of data from diverse sources, including experiments, observations, and simulations, to gain a deeper