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Field
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1282), and the stand-alone MATLAB course (ENGR 1221). All courses are taught in person on the University’s main campus in Columbus, Ohio. The Standard and Honors Fundamentals of Engineering sequences
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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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Application and maintenance of measurement technology and sensors (electrical, acoustic, thermal) Participation in data analysis and development of AI-based evaluation methods (e.g., in Python, MATLAB) Planning
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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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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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. 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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, 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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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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algorithms for very high speed coherent passive optical networks (VHSP) Implementation of DSP algorithms in MATLAB/C++, that can be used for ASIC development Development of our DSP software tools Research work
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semiconductor devices is helpful Basic programming skills (e.g. Python or MATLAB); prior simulation experience is an advantage Interest in nanoscale transport phenomena and physical modeling Independent