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research on human-AI interaction on social media. The ideal candidate will possess advanced knowledge of R and/or Python software, have experience performing statistical analyses on large datasets, have
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scientific programming (Python, MATLAB, C/Fortran, or equivalent) and high-performance computing workflows. Proven ability to work across disciplines and manage complex modeling tasks. Excellent written and
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experience with both standard neuropsychological and basic science behavioral testing strong computer programming experience (MATLAB, or python) familiarity with diffusion imaging analysis methods This is a
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electrophysiology and behavioral datasets. Use tools such as MATLAB, Python, or similar platforms for signal processing and statistical analysis. Maintain accurate records of data and experiments, adhering
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array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/ PREFERRED QUALIFICATIONS Master’s degree with quantitative focus preferred. Additional
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, or consulting on AI or data topics. Experience with both quantitative and qualitative analytical methods. Other Requirements Proficiency in Python and/or R. Skills in survey development, machine learning, NLP
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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, Labview, Python and/or C
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dynamic and diverse experience across various finance areas. Responsibilities include statistical analysis, data scraping, and literature reviews, using tools like Stata, MATLAB, Python, and R. Ideal
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, product management, and improvement of user interface of our advancement systems and web platforms. Perform analysis (using software platforms such as Excel, Tableau, Python, SQL, etc.) to transform data
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., to understand the business needs, goals, etc. Work with senior developers and architects to design and develop solutions. Create code using Python, SQL, etc. and validate function with business teams. Develop