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with researchers both at Stanford and the U.S. Census Bureau. The position is open to recent graduates of PhD programs in economics, statistics, sociology or related data science fields, preferably with
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. Tissue sectioning for advanced spatial transcriptomic analysis. Leading the analysis of single-cell and spatial transcriptomics data. Applying and developing the analysis framework for spatiotemporal
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, biostatistics, data science, or a related field are encouraged to apply. A candidate who has recently submitted the PhD thesis or is about to submit the thesis is encouraged to apply. A strong computational
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screening, high-content imaging, or functional assays of sensory or neuronal activity. · Computational or bioinformatics experience for analysis of omics data. Required Application Materials: 1. Cover letter
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Strong quantitative and analytical skills Experience in either experimental neuroscience (e.g., in vivo neurophysiological recordings, behavioral training) or computational data analysis (e.g., spike
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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
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schools, are affiliates. The institute pursues its objectives through seed funding, hosting interdisciplinary centers, organizing convenings, and leadership training. Required Qualifications: A PhD in data
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pathology. The successful candidate will gain expertise in stem cell biology, genome engineering, neural differentiation, and bioinformatic analysis while addressing fundamental questions about how
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be the focus of the first year: improving lead detection of paint (ICP-OES, XRF and colorimetry) and managing the analysis of a representative survey collecting over 10,000 samples of spices, soil and
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, Major Depressive Disorder, and Dementia with Lewy Bodies. Required Qualifications: PhD in Neuroscience, Biomedical Engineering or related disciplines with expertise in data sciences Experience in