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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
, NMR, UV-Vis, mechanical testing, imaging techniques including SEM, TEM, ESEM, BLI, and confocal imaging is strongly preferred. Software experience in ImageJ, Origin, GraphPad, MATLAB, SolidWorks, and
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scripting methods (i.e. Python, MATLAB, C++, CUDA, Bash, and/or SQL) and machine learning / deep learning methods Active learning, exploration, optimal experiment design, Bayesian optimization, reinforcement
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microcontrollers High layer count design employing BGA components, stackups for high speed signals, and transmission lines Common MCU IO such as SPI, I2S, USB, and Ethernet Matlab, Labview, C, C++, and C#; design of
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knowledge of programming (e.g., Python, R, or MATLAB) Experience of working in tropical cities Experience in systematic literature review is desired Interest and/or experience in urban landslide research
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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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, 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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. 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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navigation of medical records. ● Has experience with coding and data analysis (e.g., MATLAB, Python). Preferred Qualifications: ● Practicum relating to the treatment or research of neurodegenerative disorders
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Director/Assistant Director Perform MRI postprocessing and support data analysis using neuroimaging software such as SPM, CONN, BrainVoyager, EEGlab and NIRSlab Apply programming skills in MATLAB, Python
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electrical engineering, or a similar related field. Required Experience • Experience with developing signal processing algorithms for embedded systems starting from prototyping languages including Matlab and