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Field
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-based perturbations, base/prime editing, and targeted epigenetic modulation). Functional genomics in neuronal systems, including transcriptomic and epigenomic profiling. Model systems such as human iPSC
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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Brain Foundation Models at Stanford University We are recruiting a highly motivated Postdoctoral Research Fellow to join an interdisciplinary effort at Stanford University focused on building next
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mouse models. Experience studying the hypothalamus or neural regulation of metabolism. Experience with neural tracing techniques. Experience performing stereotaxic surgery in mice. Excellent
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. Desirable experience in AI-assisted image analysis, machine learning, computational modelling, or building predictive models from biological imaging or cell–material interaction datasets. Strong experience in
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initial problem specification, data gathering and analysis, model creation, and implementation Strong understanding of artificial intelligence applications and methodologies, such as working knowledge
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Sahoo and perform molecular/cellular studies of neuronal development using in vivo (mouse models) and in vitro (cultured primary neurons) models, involving skilled surgical procedures on mice and rats
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materials synthesis with synchrotron radiation, neutron scattering, spectroscopy and electroanalytical methods. A major research direction is the development of physical methods and models for the description
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a postdoctoral associate to study the pathophysiology of Parkinson’s disease (PD), in a progressive, preclinical, MPTP rhesus macaque model of disease progression. In particular, we are looking
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analysis, model development, and signal processing techniques for seabed characterization. The position is budgeted for an initial two-year period and may transition to a full-time Research Scientist