82 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Stanford University
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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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a PhD or MD-PhD, with expertise in molecular/cellular biology, bioinformatics, biochemistry, or immunology and may have expertise in cell-based and/or animal models. Preference will also be given
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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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–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
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external) ) is hiring a post-doctoral researcher for at least one calendar-year (with the possibility of an additional year) to work on a variety of projects requiring expertise in large scale mathematical
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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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. Candidate will have the opportunity to investigate human Tregs in vitro and in vivo, learning from patient samples and humanized mouse models, implement state-of-the-art technologies such as functional
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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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Collaboration on Ecological Neuroscience (SCENE) https://www.simonsfoundation.org/neuroscience/simons-collaboration-on-ecological-neuroscience/ (link is external) SCENE is a 10‑year, USD 80 million initiative
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model fairness and model generalizability across multi-institutional electronic health records databases. The researcher will have access to the real-world EHR data from almost 20 sites across