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to the research context. Includes the use of qualitative data analysis software (e.g., NVivo, Atlas.ti) to code and categorize the data. May train others. Uses statistical tools (e.g. SAS, R, SPSS) to perform
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software engineering best practices, including clean, testable code, CI/CD pipelines and GitHub‑based workflows Build and maintain ML and AI pipelines using cloud technologies, with a strong focus on
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organization, assisting with data collection in the lab, online, and in the clinic, assisting with grant applications, entering and coding data, supervising undergraduate and graduate assistants, maintaining
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attire. This position is security sensitive. This position requires compliance with state and federal laws/codes and Texas A&M University System/TAMU policies, regulations, rules and procedures. All tasks
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, maintenance and installation of electrical systems and equipment. The electrician trade, for reasons of safety, requires care and precision in its performance following applicable electric code regulations
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multiple researchers, ensuring that research code is robust, reproducible, and accessible. The role is designed to provide broad exposure to modern computational neuroscience and neuro-AI research, with
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management. Ability to comply with department dress code requirements. Ability to stand for extended periods and perform repetitive movements, including bending, stretching, reaching, walking, pushing, and
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workflows and documentation, Revenue Management, Charge Description Master, Coding (Diagnosis, HCPCS, Revenue Codes, Procedure Codes, Modifiers, etc.), Medical Information Management, Release of Information
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corrects them. Contacts physician offices, when vouchers lack sufficient information for payment of a claim, and educates them on proper claim coding. Processes all charge document batches and verifies total
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with neuroimaging software (e.g., SPM, AFNI, FSL). Familiar with coding (e.g., in R, MATLAB, Python). Experience with research project management. Experience with supervising research staff and students