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grow’. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: To conduct independent research in large
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and developing multi-agent systems for large language models (LLMs). Investigating the security challenges and information propagation theories in multi-agent system. Writing high-quality research
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reviews Lead the analysis of large-scale population level data sets using statistical and data science techniques Provide statistical and mathematical modelling advice to junior researchers Lead the writing
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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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questions. Work with asset owners will also concentrate on determining the value of the data. Role Summary Design and conduct large-scale laboratory and field trials using both classical as well as quantum
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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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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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position in biomedical informatics is available at Harvard Medical School to work at the intersection of advanced machine learning and large-scale biomedical data. The selected fellow will join a dynamic
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, machine learning and AI, statistical computing, big data and AI applications and prediction in biology, medicine and infectious diseases. Potential research projects include (but are not limited
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by Research Asst. Prof. Nilanjana Sadhu. This role involves quality control and analysis of large-scale proteomic data generated using affinity-based and mass-spectrometry-based methods. The Research