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detailed documentation. • Develop models and implement program code (STATA, Python, SQL, R, SAS, Matlab, etc.). • Perform statistical analysis, including regression analysis and machine learning techniques
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in Economics Knowledge of public and environmental economics, as well as causal inference. The ability to code in R and Python. Report writing and presentation. Cleansing and scrubbing large datasets
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science, computer science, biomedical informatics, biostatistics, or related field ? Strong programming skills in Python and/or R ? Experience with machine learning libraries (scikit-learn, TensorFlow
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math, biomedical engineering, physics, or related discipline. Proficiency in programming and data science tools (Python, R, C++, or equivalent). Strong statistical and machine learning background, with
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reviews to guide experiment design and identifying emerging methodologies. Processing and analyzing large experimental datasets using scientific computing tools (Python/Matlab). Maintaining laboratory
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collection, cleaning, and organization across multiple research projects using software such as Excel, R, or Python. Assist with Institutional Review Board (IRB) submissions, amendments, and documentation
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to paired cortical?spinal stimulation and by building a researcher-friendly GUI around our existing Python library hbMEP. Responsibilities Developing analysis pipelines for electrophysiological data from rats
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. Responsibilities Responsibilities include: Importing, reconstructing, and quality checking neuroimaging data. Editing and writing bash and Python scripts to batch process MRI data using software such as FSL
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design, LLM fine-tuning, and model evaluation Assist with documentation, analysis, and reproducible research code Minimum Qualifications Type preferred qualifications Bachelor's Degree Strong Python
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scientific environments is required. Strong writing skills, as demonstrated through writing samples, are essential. Quantitative skills in Python, R, and/or SAS are desired but not required. Must be able