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research and analytical techniques; demonstrated statistical and quantitative analysis experience; at least one year of experience with Python programming language; and demonstrated effective communication
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Python and PyTorch Assist in dataset preparation, preprocessing, and augmentation Run training and evaluation pipelines Analyze experimental results and document findings Collaborate closely with graduate
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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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electrophysiological data analysis, modeling, statistics, scientific writing, and programming in MATLAB, Python, or similar coding language. Preferences The ideal candidate has a proven track record of funding and
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the JAX Python library, including efficient implementations of classical numerical algorithms. 2. Extend the hybrid FEA-ML framework to include nonlinear cohesive zone models with simple traction separation