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to manipulate large data sets and proficient with design and use of modern relational/non-relational databases. Expertise with biostatistical software (i.e., Stata, R, MatLab) Experience with relevant
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-driven recommendations for ongoing research projects. * Create and maintain reproducible workflows for data analysis and visualization using tools such as MATLAB, Python and R. * Collaborate with the team
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offers the opportunity to work closely with leading academic and industrial partners in a multi-disciplinary environment. Developing control strategies for electric machines and drives using MATLAB
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MATLAB/Python/R etc Previous research experience with healthcare datasets or electronic health records English Language IELTS 6.5 Overall (with no individual component below 6.5) or Swansea University
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
scientific programming language such as Python, R, Javascript, or Matlab. Must have experience in analyzing remotely sensed imagery or other large geospatial datasets. Preferred Qualifications, Competencies
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
scientific programming language such as Python, R, Javascript, or Matlab. Must have experience in analyzing remotely sensed imagery or other large geospatial datasets. Preferred Qualifications, Competencies
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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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processing, or condition monitoring Programming proficiency in Python, MATLAB, or comparable environments Strong interest in applying AI to real-world manufacturing problems Required people skills Self
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programming • Interest in geoscience and exploitation of data • Knowledge of hosting services like GitLab • Knowledge in Python, FORTRAN, MATLAB, HTML, or similar. Experience with Typo-3 is appreciated
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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