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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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. 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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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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, performing root cause analysis, identifying and tracking corrective actions; tracking chemical inventory, disposal, hazardous waste; developing, coordinating, evaluating and ensuring compliance with disposal
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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
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university-wide change management efforts (stakeholder analysis, measures of success, risk assessment, implementation, monitoring). Collaborate with subject matter experts as needed. Participate in developing
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measurement, with newer approaches including crowdsourcing, eye-tracking, and analysis of large-scale naturalistic speech databases. Learn more at spoglab.stanford.edu. Position Summary: The Department
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academic staff researchers to develop a systems analysis approach to support and serve faculty in their research pursuits connecting research to real-world solutions and providing grant proposal writers
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will bridge data, operations, and policy to integrate forest-management realities with the use of biochar technology as a wildfire mitigant and ultimately provide analysis to its economic feasibility