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sequence optimization using phantom solutions as well as proficiency in Siemens Idea Compilers (VE11c, XA 30, XA31, XA 60 and XA61) and Matlab-based MRSI raw data extraction and linear as well as non-linear
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. 2. Data Processing & Analysis · Process and analyze motion capture, EMG, force plate, and/or musculoskeletal modeling data using specialized software (e.g., Visual3D, MATLAB, etc.). · Perform
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, multi-task and pay attention to detail. Relevant research experience, knowledge of statistics, and familiarity with programming languages (e.g. R/Python/Matlab) are highly desirable. Prior experience
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discussions using Adobe Premiere Pro in accordance with IRB and University of Oklahoma protocols Summarize and analyze discussion content and survey data using data software like Python, MATLAB, R, and/or
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, C/C++, GOAL, OGR, Pandas/GeoPandas, R/R-spatial, MATLAB, FORTRAN, and NetworkX. Proficient with both QGIS and ArcGIS for cartographic production and tool development. Familiarity with legacy
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not have exceeded two years previous work at the postdoctoral level at start of appointment. Coding experience in a scientific computing language is desirable (e.g., Python, MATLAB, R, IDL, Fortran, etc
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computer science and/or information technology courses, face to face, as needed. Introductory computer science courses require knowledge of Python, C, C++, or Matlab programming languages. Introductory
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visualization using tools such as MATLAB, Python and R. ● Collaborate with the team to integrate genetic and genomic data with clinical and imaging data to improve disease modeling. ● Present findings in
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such as for example Superconducting Quantum Interferometers and Cavity Magnonics Interferometers. Ability to maintain and develop tools for more advanced experiments by using Python, MATLAB, COMSOL and
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foundation for image analysis (e.g., affine transformations, convolutional filters, matrix and morphological operations) Programming skills in Python, MATLAB, and/or experience with ImageJ, Napari, Imaris