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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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of these major chronic diseases. We are seeking a Research Fellow to support large-scale genomic data analysis and the generation of community resources for PRECISE-SG100K. The role involves pipeline development
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-disciplinary areas of artificial intelligence machine learning big data and data analytics software and security mobility and autonomy The Presidential Postdoctoral Fellowship is proudly supported by generous
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an LLM-based chatbot to align it with computational thinking and AI learning objectives, handling and coordinating large-scale data collection, analysing data around human-AI collaboration, students
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, multi-modal data integration, and large-scale clinical and community-based research. Postdoctoral researchers will conduct data analysis, prepare and submit first-author manuscripts for peer-reviewed
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data. The postholder will contribute to the design, development, and evaluation of large language models (LLMs), electronic health record (EHR)–based models, and multimodal foundation models aimed
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: Ph.D. in the biomedical sciences Application Materials Be prepared to upload a CV. Community Information Columbia offers small-town friendliness with big city features and a high quality of life
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involve analyzing data and preparing publications using cross-sectional and longitudinal psychosocial, cognitive, and biomarker measures from large epidemiologic studies of diverse older adults (e.g
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cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and
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University and the broader NYC cognitive science community. Responsibilities Include: Research & Analysis Develop and maintain Python-based pipelines for large-scale data processing (images/video, text