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disease progression. This includes integrating LLMs with structured data sources to develop robust computational phenotyping algorithms and scalable models for real-world evidence generation. The role will
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, and motivated candidates with a strong publication record. Dr. He’s research group focuses on developing data-driven methodologies to identify and interpret features associated with aging, as
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., Storchova, Z., Sheltzer, J.M. (2021). Chromosomal instability accelerates the evolution of resistance to anti-cancer therapies. Developmental Cell. doi.org/10.1016/j.devcel.2021.07.009. Required
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is on advancing the state-of-the-art in generative modeling and applying these advances toward developing more capable biotechnologies, including design problems that go beyond the molecular scale. We
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. Role & Responsibilities: Design and optimize large-scale electrophysiological and behavioral experiments using next generation custom-built hardware and software platforms Develop and implement end
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translate extracellular cues sensed by GPCRs into specific phenotypic outputs. Developing quantitative proteomics approaches to capture the spatiotemporal organization of signaling networks and combining
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cosmetics in India. The role includes developing and improving analytical protocols, conducting lab and field analyses and training other students and collaborators on analytical approaches. The start date is
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Simpson in the School of Engineering and School of Sustainability, Department of Civil and Environmental Engineering at Stanford University. The work will play an important role in the development of a
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development and neuropsychiatric outcomes, with the goal of improving mental health and developmental trajectories in children. Our work emphasizes mechanism-driven, translational research, leveraging clinical
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opportunities for career development and a welcoming and supportive laboratory environment which values kindness, honesty, curiosity and integrity. Required Qualifications: PhD in Human Biology / Human Genetics