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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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teaches computational thinking and programming fundamentals in Python in the context of authentic, collaborative projects. The instructor leads activities in a flipped format class session with dedicated
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with the engineering team to design solutions that address documented business problems Create initial code using Python, Excel, SQL, Power BI, etc., and validate functionality with business teams Act as
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(TMS or EEG) testing, neuro-imaging (sMRI/fMRI/fNIR) testing, behavioral (neuromechanics, kinematics or clinical outcomes) testing · Proficiency in MATLAB and Python · Good knowledge of statistics and
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on need and/or interest. Special skills: Work will be required for some weekends dependent on clinical scheduling. Programming experience is an asset (Python and/or Matlab) as is previous experience
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statistics, biostatistics, or a related quantitative field is required. Strong background and experience in statistical programming using R, SAS, or Python, with demonstrated skills in data cleaning, modeling
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such as CCNA and CCNP are preferred. 2. Experience with network scripting and automation tools such as Ansible and Python preferred. 3. Requires a valid North Carolina driver's license. 4. Requires
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workflows and ensure consistency across studies. · Use SAS and other analytical tools (e.g., R, Python) to build custom reports and visualizations to monitor data quality and support operational decisions
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. Experience with programming languages such as Java/Python is an asset. Demonstrated ability to manage confidential, sensitive, and protected health information. Knowledge and experience in a large, complex
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the umbrella of the public sector innovation initiative at Duke University. Solid background in programming (e.g. Python) is required. The goal is to find a solutions to consider materials infrastructures in