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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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, 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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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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community that spans discovery to clinical implementation. Specific Responsibilities include: experimental design, data acquisition, data processing, statistical computation, methods development, data
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Disorder, and Dementia with Lewy Bodies. The position involves direct human subject interaction and testing, the collection, organization and analysis of electrophysiological and kinematic data, and
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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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their appointment. Knowledge of theoretical and/or observational cosmology, particularly including perturbative methods, will be an asset. Candidates with a strong background in other theoretical or data analysis
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, curating and analyzing a deeply-phenotyped dementia and healthy older control dataset. We have generated over 1200 long-read sequencing (LRS) genomes of diverse phenotypes and have additional multiomic data
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. Responsibilities: Design and conduct experiments, and generate, analyze and interpret data related to understanding human Treg subtypes in solid tumors, and T cell and Treg bioengineering. Perform in vitro and in
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scientists from all backgrounds. More information on research in in the lab can be found on our website (www.sheltzerlab.org (link is external) ) and in the following publications: Lee, S.N., Banda, E.C., Qiao