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candidate will gain expertise in CRISPR screening, drug sensitivity profiling, target deconvolution, and the computational analysis of large-scale pharmacogenomic datasets. The lab maintains active
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protein biochemistry and/or cryo-electron microscopy, including at least one of the following: single-particle analysis, cryo-ET, or 2DTM. This position is ideal for researchers who want rigorous training
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by the Center for Education Policy Analysis and the Education Data Science program) develop cultural competencies (via events organized by the Race, Inequality, and Language in Education program and
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or latent class analyses, latent transition analysis) and other multilevel modeling approaches that account for nested data (both within individuals and across sites) o Mediation, moderation, multigroup
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data analysis, machine learning and computer vision. The position will be based at Stanford University. The fellowship has two primary goals: to advance our research program on the health impacts
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national network of collaborators with similar research programs. Required Qualifications: Highly motivated postdoctoral researcher with: Experience in relational databases, big data curation and analysis
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gain training in 2D/3D spatial multi-omics, single-cell spatial pharmacology, AI-enabled tissue analysis, and translational cancer biology, with access to large, high-quality, in-house spatial datasets
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· database extraction · data cleaning · analysis · algorithm development and implementation · data visualization [CI1] The postdoctoral
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is $79, 056. Rapid Online Assessment of Reading Postdoc in Operational Psychometrics and Educational Data Science Advisors: Jason D. Yeatman, Ph.D. and Carrie Townley-Flores, Ph.D. The Rapid Online
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, the molecular and placental mechanisms underlying its protective effects remain poorly understood. In this translational research project, Dr Yoel Sadovsky (MD, biologist) and Dr Ivana Maric (PhD, data scientist