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production. Familiarity with chemical-kinetic software such as Cantera, Chemkin, or equivalent tools. Experience with optical diagnostics such as laser-induced fluorescence, Raman spectroscopy, laser-induced
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, representational analysis, or computational cognitive neuroscience. Clinical neuroscience applications, including neuropsychiatric, neurodevelopmental, or neurodegenerative disorders. Open-source software
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software tools, databases, and analytical workflows. Excellent organizational, communication, and problem-solving skills. Demonstrated excellence, innovation, and productivity in research. Ability to drive
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software (e.g., MPlus, R, or Stata). Applicants must have graduate training in psychology, neuroscience, medicine, or another advanced degree in a related discipline (Ph.D., Psy.D., M.D., or equivalent); and
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statistical software package. Good communication skills in English. Required Application Materials: CV (no cover letter or letters of reference required) Stanford is an equal opportunity employer and all
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spatial genomics experiments is a plus but not necessary. Experience in carrying out independent and collaborative research. Proven experience with protocol development, software development, computational
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scientists about these automated techniques. The post-doctoral scientist will work with a dynamic, multidisciplinary team of software engineers, modelers, educators, and scientific investigators. Required
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with standard software packages related to next-generation sequencing, genomics, and epigenetics. Track record of productive research through first author, peer-reviewed publications. A self-starter
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, radiology, pathology, biostatistics, health services research, and health informatics. We provide access to high-performance computing, secure data environments, clinical imaging data, and software tools