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knowledge in bioinformatics, machine learning, statistics and programming skills (R, Python, or MATLAB) are required. Record of peer-reviewed publications. Knowledge in one or more of the following areas is
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science, or related programs with an interest in population health measures to apply. The scholar will join a vibrant and growing community at Stanford looking at the health impacts of environmental changes
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culture, cell phenotyping, sequencing, gene editing, and the isolation and characterization of extracellular vesicles is desired. Proficiency in bioinformatics tools and programming languages (e.g., R
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field is 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
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. Strong programming skills (R, Python, C++ etc.). Excellent written and oral communication skills. Required Application Materials: Cover letter describing your interest in applying to the lab. Curriculum
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learning to investigate how the human brain develops diverse cell types and forms complex neural circuits. We are particularly interested in how these developmental programs are disrupted in
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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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, machine learning, statistics 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