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Field
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electronic systems for control and analysis of instruments, applying these systems to the study of human diseases, and acquiring and analyzing clinical data sets. Programming skills should include MATLAB
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2021; Khoshkhoo et al. JAMA Neurology 2023; Farrell et al. Nature 2024; Bizzotto et al. PNAS 2025; Khoshkhoo et al. bioRxiv 2026. For more information, please check our websites at https
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non-human primates and/or background in electrophysiology of the visual system are preferred. All candidates must possess strong quantitative skills (e.g. Matlab, C++, Python). The term
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analyses of neural recordings. Integrate iEEG data with neuroimaging (MRI, CT, fMRI), behavioral, and clinical datasets. Develop and implement computational pipelines using MATLAB, Python, or similar
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quantitative data analysis ● Strong technical expertise and independence in programming, with proficiency in tools such as Binary Ninja, IDA Pro, Matlab, software radios, LaTeX, etc. ● Demonstrated
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(negotiable) Group or Departmental Website: https://urbanresilience.stanford.edu/ (link is external) How to Submit Application Materials: Interested candidates should apply at https://forms.gle
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in programming (MATLAB, Python, R) Experience using advanced statistics Ability to build advanced experimental interfaces (using Matlab, Psychopy, JavaScript, etc.) Track record in publishing
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Group or Departmental Website: https://plevritislab.stanford.edu/ (link is external) https://ccsb.stanford.edu/ (link is external) How to Submit Application Materials: Go to: https
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pipelines to extract biological signals from noisy data sets using Python, MATLAB, and/or LabVIEW. Collaboration: Work alongside biologists to translate raw sensor data into insights explaining the mechanisms
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include the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin