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(HAI)(link is external) . Research Focus The fellow will lead computational modeling efforts to develop large-scale, multimodal models of the human brain. The work will involve integrating brain imaging
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are particularly interested in how alterations to ENS macrophages in aging and neurodegenerative diseases contribute to disruption of gastrointestinal motility. We use well-established mouse models and human gut
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-disciplinary approach spanning human genetics, computational biology, genomics, genetics, pharmacology, and biochemistry. By integrating human population-scale data with experimentally tractable model systems
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candidate with experience in data analytics, computation, statistical analyses, and decision-analytic modeling who is interested in health policy and economic evaluation. Prior work in any of the following
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. The Postdoctoral Scholar will be expected to provide technical leadership in experimental design and measurement, connect experimental observations with gas-phase kinetic and transport models, and communicate
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Laboratory at Stanford University is seeking a highly motivated postdoctoral scholar to join our interdisciplinary team working at the intersection of liquid biopsy, cancer genomics, and computational biology
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on physiologic waveform analysis, biomedical signal processing, and computational modeling of continuous clinical monitoring data. The successful candidate will work on projects involving the analysis
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prognostic markers for psychosis in youth at clinical high risk, using state-of-the-art AI models and multimodal neuroimaging, clinical, and cognitive data. The position will emphasize advanced computational
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop
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quantitative modeling using R and/or Python. Experience with PK-modeling within NONMEM, R or Python environments. Strong general computer skills, with the ability to quickly master and implement innovative ML/AI