10 software-verification Postdoctoral positions at Stanford University in postdoctoral
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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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possession of other legal verification of such status) and not be supported by any other NIH grant at the time of the T32 appointment. Individuals on temporary or student visas are not eligible. Required
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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