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focus is on advancing the state-of-the-art in generative modeling and applying these advances toward developing more capable biotechnologies, including the design of more evolutionarily resilient
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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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graduates of PhD programs in statistics, economics, computer science, operations research, or related data science fields. The position provides opportunities to participate in rigorous, quantitative research
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the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. Our research team is looking for a postdoctoral scholar interested in lymphatic imaging research utilizing a large animal model of lymphatic
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modeling and animal modeling. We also collaborate with a number of other groups within the Stanford Cardiovascular Institute, Department of Microbiology & Immunology, and Division of Oncology/Stanford Cancer
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big data and AI at its core. A central goal of the project is to build a foundation model of the visual brain—a “digital twin” that captures neural activity and intelligent behavior at unprecedented
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/or experience with large-scale data analysis, algorithm development, or computational modeling. Required Qualifications: Doctoral degree in linguistics, cognitive science, psychology, hearing and
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conferred prior to start date Strong background in cellular and molecular immunology Additional experience in cancer models, cell / protein engineering, and/or computational biology is highly desirable
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immunology. Preferred qualifications: Experience in immunology, human immunology, mammalian cell culture, multi-color flow cytometry, cell sorting, gene transfer, murine models, computational biology, and
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testing of the Identity Project and the E4 Teacher Professional Development program in the United States – identifying feasible and effective strategies to support educators as they prepare to implement