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the liver microenvironment. Experiments will utilize animal models, cell culture including induced pluripotent stem cells, and human patient samples. Required Qualifications: Applicants should hold a PhD
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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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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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on human trafficking, including supply chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data
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-based models as well as patient-derived xenograft models of liver cancer. This position is suitable for a highly motivated self-starter who excels in a dynamic environment offering varied learning
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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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different sensory experiences (e.g. deafness). Recent work in our lab has focused on: Developing transformer-based models to classify infant and child speech maturity from naturalistic audio recordings across
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–immune interactions, leveraging preclinical models and clinical samples from phase 1 trials. Our goal is to bridge molecular insight with clinical translation. Environment and Resources The Kalbasi Lab is