84 high-performance-quantum-computing Postdoctoral research jobs at Stanford University
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: The position is for one year with the potential for annual renewal, contingent on performance and funding Appointment Start Date: June 2026/flexible Group or Departmental Website: https://med.stanford.edu/liver
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science, computer science, health or environmental sciences, or environmental economics Experience with causal inference methods, especially fixed-effects regression A demonstrated interest in
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backgrounds trained in chemistry, chemical biology, microbiology, and/or biophysics fields. We have launched a collaborative antibacterial drug design program integrating chemical biology and mechanistic
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, or related field from an APA-accredited program Expertise in pediatric neuropsychological and/or developmental assessment Strong foundation in neurodevelopmental disorders, particularly experience with
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genetic variation (Lee et al., bioRxiv 2025). This project will expand on this work by generating additional patient-derived models, performing comprehensive differentiation studies across multiple cellular
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-derived models, performing comprehensive differentiation studies across multiple cellular contexts, and using CRISPR activation and interference to identify specific genes that contribute to disease
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Appointment Term: The initial appointment will be for one year, with the possibility of renewal for up to three years, subject to performance and funding availability. Appointment Start Date: Fall 2026
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biological samples. By controlling the physical interface between biology and measurement, we aim to generate structured, high-quality datasets that enable rigorous quantitative analysis and predictive
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alongside a team with expertise in flood modeling and collaborators in IIT Bombay. We encourage recent graduates with a PhD or equivalent degree from an epidemiology, biostatistics, data science, computer
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workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams of clinicians, economists, and policy researchers. Prepare