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tables, and modeling. Ability to develop clear and complex visualizations Technical Proficiency: Prior experience with SQL, QlikView, MS Power BI, R, or Python is highly preferred. Communication
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. Ability to develop clear and complex visualizations Technical Proficiency: Prior experience with SQL, QlikView, MS Power BI, R, or Python is highly preferred. Communication: Exceptional ability to translate
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, bioinstrumentation, or embedded systems Programming experience (e.g., MATLAB, Python, or similar for data acquisition/analysis) Familiarity with surgical techniques or willingness to be trained in rodent survival
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the Python deep learning software stack, particularly expertise in PyTorch, Numpy, and related packages. Experience handling and processing large and diverse datasets, especially medical texts, journals
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with electrophysiology acquisition and analysis (for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including
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(R, Python, etc.), and working knowledge of data management protocols. Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS
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statistical packages. Perform statistical programming. Experience with NLP. Manage and manipulate data using requested packages, such as STATA, Python, R, or MATLAB. Ensure compliance with department
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NLP. Manage and manipulate data using requested packages, such as STATA, Python, R, or MATLAB. Ensure compliance with department, University, and federal regulations. Complete work with only general
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(for example spike sorting, LFP analysis, population analyses) Strong quantitative skills and programming experience (MATLAB and or Python), including reproducible analysis workflows Familiarity with
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systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX) · Strong analytical, problem solving, and communication