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, clinicians, engineers, and neuroscientists as part of a collaborative team. Perform data collection, processing, and statistical analysis in Python or MATLAB. Document findings, prepare reports, and contribute
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, clinicians, engineers, and neuroscientists as part of a collaborative team. Perform data collection, processing, and statistical analysis in Python or MATLAB. Document findings, prepare reports, and contribute
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programming in Matlab or Python) is highly desirable, as is expertise in collecting field observations. Strong oral and written communication skills are expected. Special Instructions Applications should
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(including programming in Matlab or Python) is highly desirable, as is expertise in collecting field observations. Strong oral and written communication skills are expected. Special Instructions Applications
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, administrative claims data, environmental exposure data, and other complex databases using GitHub Maintain databases using R, Python, and SQL in collaboration with members of the research team Create and link
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required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch) are essential. Additional Qualifications
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collection, processing, and statistical analysis in Python or MATLAB. Document findings, prepare reports, and contribute to manuscript preparation. Ensure research activities comply with regulatory standards
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standards, leveraging Python and shell scripting to automate builds, packaging, and CI/CD. You will contribute to methods, training, and publications that strengthen computational rigor across cryo-EM
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(including programming in Matlab or Python) is highly desirable, as is expertise in collecting field observations. Strong oral and written communication skills are expected. Special Instructions Applications
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design