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-author papers and present at conferences with the goal of helping the Fellow continue to build out a robust program of research. Timeline Application review will begin January 30, 2025. Applicants
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that contributes to a high-impact global program with a mission to create a healthier world by addressing lead contamination at the source. Project Unleaded conducts policy-relevant research that positively impacts
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for entanglement detection and classification. The algorithms are supported by affordable, spatial surface and subsea sensing and a low-power edge computing to collect and compress datasets at-sea, allowing the
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Health Epidemiology and Population Health Med: PCOR Health Policy Neuroscience Institute Medicine, Biomedical Informatics Research (BMIR) Biomedical Data Science Postdoc Appointment Term: 1-3 years
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activity. · Computational or bioinformatics experience for analysis of omics data. Required Application Materials: 1. Cover letter describing your background, programming experience, and research interests
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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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are currently completing the last year of their PhD or graduated from their PhD program in the past year. Required Application Materials: Your CV Brief statement of research interests 3 references Stanford is an
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for Spatial Biology Description: The Lu Lab at Stanford University is seeking a postdoctoral fellow with deep expertise in advanced AI and generative modeling to develop computational frameworks that transform
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testing of the Identity Project and the E4 Teacher Professional Development program in the United States – identifying feasible and effective strategies to support educators as they prepare to implement
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connections between the lab, classroom, and society. Required Qualifications: Highly motivated postdoctoral researcher with extensive experience with item response theory models, computer adaptive testing, and