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in R, MATLAB, Python and/or other programming languages. Experience in AI and machine learning techniques applies to physiological, neural, and imaging data. Preferred qualifications Experience with
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. ● Strong quantitative analysis skills, including knowledge in statistical analysis software (R, Python, MatLab, etc). ● Applies knowledge and skill to a recurring task or activity with emphasis typically
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for field and laboratory datasets. Perform statistical analysis and spatial modeling using R and/or Python. Develop machine learning models for digital soil mapping applications. Create and maintain
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., MATLAB, Python). Hands-on experience in acquisition, filtering, and analysis of electrophysiological recordings in the auditory system. Demonstrated experience in preparing and submitting scientific
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or public health data analysis Familiarity with analytic tools or programming languages (e.g., R, Python, SQL, SAS). Strong understanding of epidemiologic methods, study design, and principles of disease
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Python ● Ability to understand and translate domain researchers' scientific goals into analytical strategies and process requirements ● Demonstrated skill in communicating technical material to technical
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Vegetation Simulator (USFS FVS). Experience with software tools such as R, CPLEX, Optimization with Python, Remsoft (Woodstock). Excellent communication skills and ability to work collaboratively with others
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science environment. ● Proficiency in coding and advanced data analysis using languages such as R or Python. ● Experience working with databases using SQL, cleaning and transforming data. ● Deep
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, coding systems (ICD, CPT, DRG), and healthcare data sources. Proficiency in SQL, data visualization tools (e.g., Tableau, Power BI), and statistical software (e.g., SAS, R, Python). Familiarity with EHR
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. Proficiency in scientific programming languages (e.g., Python, R, or MATLAB) for data analysis and visualization. A record of research productivity appropriate to the career stage, including publications in