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the Education Data Science program) develop cultural competencies (via events organized by the Race, Inequality, and Language in Education program and the initiative on Learning Differences and the
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shape new directions within the research program. Responsibilities: Design, fabricate, and characterize novel van der Waals heterostructure devices using Stanford’s nanofabrication facilities. Perform
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breakthrough or develop a transformative innovation or tool that can form the foundation of an independent research career/program in academia or industry. Required Qualifications: PhD in a quantitative life
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career/program in academia or industry. Required Qualifications: PhD in a relevant field Required Application Materials: CV Brief description of research interests and career goals Stanford is an equal
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position to join NIH-funded projects in collaboration with the U.S. Census Bureau's Enhancing Health Data (EHealth) Program that develop new integrated data to improve our understanding of the socio-economic
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and programming skills (R and Python) is preferred. Record of peer-reviewed publications. Knowledge in one or more of the following areas is desirable: single-cell profiling technologies, spatial omics
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. Qualifications for this position include a PhD in Computer Science, Artificial Intelligence, Natural Language Processing, Human-Computer Interaction, or a closely related field. Candidates should have demonstrated
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, or a related field. Demonstrated expertise in process modeling, particularly in chemical or environmental systems. Experience with optimization software (e.g., WaterTAP) and programming languages (e.g
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processing, written and oral presentation and problem-solving skills are desired. English proficiency is required. Required Application Materials: CV with references Stanford is an equal opportunity employer
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required. The candidate must have demonstrated proficiency in machine learning, natural language processing, and working with large-scale health datasets. Strong programming skills in both Python and R