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experience in MRI reconstruction and analysis • Willingness to expand knowledge of deep learning methods and optimization • Experience with Matlab or Python • Strong verbal and written communication • Ability
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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
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collection and analysis tools including, including R, Jamovi, SPSS, REDCap, Qualtrics, etc. • Familiarity with programming and scripting languages relevant to scientific computing (e.g., MATLAB, Python, R
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Development – 80% ● Develop a control system for a robot with multiple degrees of freedom. ● Coding software routines for robotic exoskeleton using Python and/or C++. ● Debugging and embedding software
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-Bachelor's degree in economics -Experience with econometric tools of analysis -Programming experience preferred: SAS, R, STATA and Python -Eligibility for certification using restricted CDC data sets
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for processing NGS data (e.g., WGS, RNA-seq, single-cell, ChIP-seq). · Develop production-ready, version-controlled, well-documented software and command-line tools in Python, Perl, R, or similar languages
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candidate will have knowledge in programming, preferably in Python, experience working in a Unix environment. They will be motivated, organized, and will work under supervision to help the investigator
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control systems for collaborative development Programming skills in Python for geospatial applications and data processing Professional Skills Strong visual communication skills for presenting geospatial
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: developing automation workflows using scripting languages (e.g., Python, PowerShell) and applying machine learning techniques for system administration tasks such as predictive maintenance, backups