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Trafficking Data Lab is accepting applications for a postdoctoral fellowship position to join a project investigating trafficking risks in charcoal supply chains in Brazil. The position is open to recent
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expertise in Neuropixels or other large-scale in vivo electrophysiology techniques. An expert neural data analyst may be considered even with minimal animal experience. Required Application Materials: Cover
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, and capacity across diverse markets. The ideal candidate will have experience working with restricted-access Census data and hold Special Sworn Status (or be eligible to obtain it). Applicants should
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, molecular biology, and in vivo models. Analyze and interpret data, integrating experimental and computational findings. Utilize bioinformatics tools and techniques to analyze high-throughput sequencing data
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, Outpatient, Carrier, TAF). Develop reproducible code and workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams
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such problems within 1-2 years and bringing them to closure. Ideal candidates will have a strong foundation in any of the following fields: Science (e.g., physics, chemistry, data science); Engineering (e.g
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the U.S., the Global South, and Europe. Furthermore, they will be involved in analyzing, presenting, and publishing data related to the initiative’s ongoing and future projects. The successful candidate
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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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Website: https://hph.stanford.edu/careers/ (link is external) How to Submit Application Materials: Submit all application materials to mueller7@stanford.edu . Please write "Project Unleaded Data Postdoc
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community that spans discovery to clinical implementation. Specific Responsibilities include: experimental design, data acquisition, data processing, statistical computation, methods development, data