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to characterize the brain network interactions using connectivity and graph theory metrics. Develop reproducible computational pipelines in MATLAB, Python, R, or similar platforms for electrophysiology processing
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programs: Microsoft Office (Word, PowerPoint and Excel), Adobe Photoshop and Acrobat, Mozilla Firefox and/or Endnote. Experience and artistic talent for preparing scientific graphs. Equipment Utilized
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programs (Word, Excel, PowerPoint, etc.) for report writing, data graphing, recordkeeping, website update, and inventory control is required. Ability to quickly learn new techniques and instrumentations
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understanding of how to use and integrate with APIs. Experience with cloud vendor service APIs like Microsoft Graph API, AWS, G Suite Admin SDK. Equipment Utilized Physical Demands and Work Environment Special
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workbooks, handwriting curriculum, etc.) Microsoft Excel spread sheet/graphing program. Physical Demands and Work Environment Employee must be physically active and be on feet most of the day. Duties may
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Fellow (CF). Equipment Utilized Computer skills including Word Processing, Data Base, Spread Sheets, and Graphing software, and commercially made educational materials (i.e., standardizedtests, language
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, research, and an understanding of DDDC’s research and mentoring models. Master’s degree. Equipment Utilized Computers: Word Processing, databases, spreadsheets, graphing software, commercially made
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. Solid background in signal processing, statistics, or computational neuroscience, preferred. Outstanding presentation skills, preferred. Experience in graphing, statistical analysis and data management
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Learning: Apply shape-correspondence and machine-learning approaches, including spectral/graph-based surface alignment and autoencoder-based shape extraction, to compare limb and joint morphology across
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science field. One year of experience working in a basic science lab environment. Experience with graphing, statistical analysis, and data management. Certifications/Licenses Required Knowledge, Skills, and