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solve sensory-motor tasks. Core Responsibilities Analyze neural datasets using Python and standard scientific libraries (e.g., NumPy, SciPy, Matplotlib). Develop and evaluate machine learning models
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in support of research hypotheses. Implement and document code in Python (preferred), including data manipulation and estimation routines. Produce tables, figures, and written summaries of results
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in support of research hypotheses. Implement and document code in Python (preferred), including data manipulation and estimation routines. Produce tables, figures, and written summaries of results
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data analysis workflows in Python Conduct citation analysis of innovation and collaboration patterns Assist with machine learning and/or LLM-based analysis Participate in mentoring junior researchers in
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data analysis workflows in Python Conduct citation analysis of innovation and collaboration patterns Assist with machine learning and/or LLM-based analysis Participate in mentoring junior researchers in
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, Python, SPSS, SAS, or similar). Experience with data visualization tools (e.g., Power BI). Experience utilizing common generative AI tools (such as ChatGPT, Gemini, NotbeookLM, Microsoft CoPilot, Claude
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, Python, SPSS, SAS, or similar). Experience with data visualization tools (e.g., Power BI). Experience utilizing common generative AI tools (such as ChatGPT, Gemini, NotbeookLM, Microsoft CoPilot, Claude
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modern programming languages including Python, C/C++, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art
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to spatter landing sites Analyzing data from experiments using Python Train and validate machine learning model for processing data Writing/submitting manuscript of work to academic journals for publication
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to spatter landing sites Analyzing data from experiments using Python Train and validate machine learning model for processing data Writing/submitting manuscript of work to academic journals for publication