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for neuroimaging analysis, and coordinating multi-site data collection efforts. Lab: https://gallantlab.org/ Contract: https://ucnet.universityofcalifornia.edu/resources/employment-policies-contracts/bargaining
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human subject research in clinical populations with impaired neuromuscular control, especially those with acute or chronic concussion Programming experience (MATLAB, Python, R) Experience using
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human subject research in clinical populations with impaired neuromuscular control, especially those with acute or chronic concussion Programming experience (MATLAB, Python, R) Experience using
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.) ● Strong computational background, including: o 2 years of experience in programming (e.g., Python, R, Julia, or similar); o Evidence of working with large-scale datasets (e.g., genomics, transcriptomics
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and knowledge and early-career authorship. Responsibilities Programs in Stata, Python, R, or Matlab to analyze data using econometric tools. Collaborates with research team to develop economic models
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offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . For more
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advanced signal processing and time–frequency analyses of neural recordings. Develop and implement computational pipelines using MATLAB, Python, or similar platforms. Lead manuscript preparation for peer
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well as pediatric malignancy. The successful candidate will have experience analyzing data, and proficiency in standard statistical software, including SPSS as well as R. Knowledge of python is a plus. If the
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to institutional workflows by leveraging expertise in Python, Azure AI Foundry, and machine learning to build scalable, user-centric AI applications. The developer collaborates with cross-functional teams
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applied statistics, data science, machine learning, text analysis, and familiarity with coding in R and/or Python. All applications must be submitted through Columbia University?s Academic Search and