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empirical research (e.g., Python, R, Stata, Julia, or MATLAB) is required. Familiarity with SQL, cloud computing, or text analysis is helpful but not required. If you believe that this opportunity is a match
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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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. The mission of the Stanford Sustainable Mobility Center is to conduct research and analysis on sustainable mobility across five main research pillars: sustainable energy systems, sustainable infrastructure
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compensation * Managing data storage and cleaning * Organizing and preparing data for statistical analysis * Preparing research presentations, reports, and papers * Reviewing and editing manuscripts * Designing
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biology, cancer biology, and/or molecular biology preferred • Experience in image processing and analysis also preferred • The candidate will report directly to the Principal Investigator and will
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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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management and analysis skills; mixed methods preferred. Experience or training in one or more programming languages and/or statistical software: R, SPSS, Mplus, or SAS. Excellent written and verbal
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update documentation as needed. Provide technical analysis, design, development, conversion, and implementation work. Work as a project leader, as needed, for projects of moderate complexity. Serve as a
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and unsupervised machine learning models, including LLM-based classification and fine-tuning for domain-specific applications. Collaborate with faculty and research staff on data collection and analysis
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. The current project uses structural neuroimaging to guide DBS lead placement and optimal DBS settings, as well as kinematic analysis of behavioral motor tasks. Additional projects include the development of a