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the following: Conduct research in the area of aging, balance, fall rehabilitation, app development, and biomechanics. Data Post-processing. Programming using MATLAB, Python, and Java/Kotlin (for Android
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following areas: privacy, security, cryptography, data analytics, and machine learning. Other skill sets required for this position include ability to code in Python, excellent oral and written communication
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for large relational databases using SAS, R, Python and/or SQL. Demonstrated oral and written communication skills, and the ability to present scientific findings in various formats and to compose manuscripts
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: Configure and manage REDCap for research data collection and storage. Guide students in using SAS, Stata,SPSS, Python, R and other statistical software for data analysis. Teach best practices for setting up
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(PCORnet) standardized data models. Java, C++ and Python scripting. REDCap system administration, modification, and interoperability. Preferred Qualifications Ten or more years of relevant work experience
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, such as Python and R. Preferred Qualifications College degree in genetics or related life-sciences fields with training in computational biology, genomics, and gene regulatory mechanisms. Bachelor’s degree
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Qualifications Experience in quantitative modeling, stock assessment, population dynamics, statistics, and computer programming (R, Python, Matlab, Template Model Builder, AD Model Builder) are preferred
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. Certifications/Licenses Required Knowledge, Skills, and Abilities Laboratory or experimental research experience Experience with common programming languages (e.g., Python, Matlab) Experience working with big data
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Abilities Demonstrated experience working with large datasets, preferably in healthcare or life sciences. Excellent programming skills (e.g., Python, MATLAB, R). Must pass employee health clearance, TB Test
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., Python, R, TensorFlow, PyTorch, scikit-learn) preferred. Familiarity of complex information systems architecture, electronic health data, transmission standards for electronic health data, information