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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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expected that at least four fellowships will be awarded. Research areas eligible for the fellowship include quantum chemistry, quantum communication, quantum computing, quantum information, quantum gravity
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The Human Motor Control and Neuromodulation Lab under Dr. Helen Bronte-Stewart is part of the Stanford Movement Disorders Center within the Department of Neurology and Neurological Sciences
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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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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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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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/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