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Stanford University, Q-FARM Fellowship ID: Stanford-Q-FARM-POSTDOC [#30527] Fellowship Title: Bloch Fellowship in Quantum Science and Engineering Fellowship Type: Postdoctoral Location: Stanford
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/or experience with large-scale data analysis, algorithm development, or computational modeling. Required Qualifications: Doctoral degree in linguistics, cognitive science, psychology, hearing and
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collection challenges (e.g., technology, logistics, respondent recruitment). Data Management & Analysis Clean and manage large-scale quantitative survey datasets using R (preferred) and Stata or other packages
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pathways in patients with infectious diseases. This project builds on a large body of work implicating IEI in susceptibility to specific infectious (Ciancanelli, et al. Science 2015; Beziat, et al. Cell 2021
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required minimum for all postdoctoral scholars appointed through the Office of Postdoctoral Affairs. The FY25 minimum is $76,383. Combining mass spectrometry-based proteomics and metabolomics, data science
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/Python coding, next-generation sequencing data interpretation, large-scale data integration, and machine learning. Science: strengthen the ability to formulate hypotheses, design aims to test the
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computational resources for data analysis, and also provide the opportunity to collaborate with Stanford Data Science, the Center for Decoding the Universe, the SLAC theory group, and a number of other cross
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will have connections to both the Molecular Imaging Program at Stanford (MIPS) and the Radiological Sciences Laboratory (RSL). The ideal candidate for this position will have interest in being trained in
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. Position Summary: We are seeking a laboratory-based postdoctoral fellow with expertise in environmental science, specifically focused on lead exposure assessment. The successful candidate will support
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Posted on Tue, 08/05/2025 - 13:32 Important Info Deprecated / Faculty Sponsor (Last, First Name): Cegelski, Lynette Stanford Departments and Centers: Chemistry Postdoc Appointment Term: initially