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Field
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randomized clinical trial on operative versus non-operative treatment for rotator cuff tears. As a postdoctoral research fellow within PM&R /Michigan Medicine at the University of Michigan, the candidate will
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, and the ability to work effectively with a wide range of constituencies in a complex and diverse setting ● Proficiency with statistical computing (e.g., R, Python or C/C++) ● Demonstrated
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. • Strong data analytic and programming skills in Python and/or R. • Proficiency in Unix/Linux systems. • Excellent writing and communication Additional Information: Location: Pelotonia Research Center (1040
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. Experience and training in longitudinal data analyses, particularly multi-level modeling and structural equation modeling. Proficiency in statistical analysis software (e.g., SPSS, R, MPlus, SAS). 2
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or chronic concussion Programming experience (MATLAB, Python, R) Experience using biomechanical instrumentation including instrumented treadmills, motion capture, electromyography, and / or wearable inertial
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development i) NetCDF and Zarr data models f) earth system model development. Experience with software development, analysis and data management tools, such as Python, R, Jupyter, Linux, Globus, STAC, GitHub
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history in peer-reviewed journals to demonstrate research success. Preferred qualifications A strong background in immunology Experience with R and/or the analysis of sequencing data sets Interested
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software development (mostly in R, or in Python/TensorFlow/Keras/PyTorch for deep learning), possibly theory development, simulation studies, real data analysis, and writing manuscripts. Starting Date
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molecule/drug applications. Bioinformatics and/or programming expertise in languages such as R and Python. Knowledge, Skills and Abilities: Solid understanding of common cellular and molecular mechanisms
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experimental procedures to investigate underlying molecular mechanisms. strong quantitative background, ideally with SAS, R, and genomics analyses programming skills familiarity with common bioinformatics