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: - Past experience (or academic background) with low, medium, and high-power photovoltaic systems; - Academic background in operations research.; - Knowledge of Python and MATLAB Script programming
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environmental datasets; proficiency with Python, MATLAB, or similar scientific programming environments. Ability to work with large datasets, develop reproducible workflows, and apply modern data science tools
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
, preferably with familiarity with MRI sequence programming and/or coil design, particularly with Siemens scanners. Experience with programming languages such as Matlab or Python for image and data analysis
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, simulation, and software development (e.g., Python, C++, ROS, MATLAB) analytical skills and ability to combine theoretical modeling with experimental validation We are looking for first-class graduates with
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computing (MATLAB, Unix, Python) is highly desired. Excellent scientific writing skills are also desired. Interested candidates must submit an online application, and should upload the following application
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environment such as Python, MATLAB, or R. Good understanding of hydrodynamic loading and wave–current environments (e.g., wave kinematics, high-order wave theories) would be highly regarded. Familiarity with
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control systems and process analysis software (e.g., LabVIEW, Matlab, Python) Selection: The basic factor for selection among qualified applicants is the ability to profit from such a program. For more
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data analysis using, e.g., Origin or MatLab Programming skills, e.g. proficient with Labview or Python Language requirement: Good oral and written communication skills in English English requirements
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scientific programming using Python and MATLAB, including experience with machine learning and data science libraries such as PyTorch, MONAI, TensorFlow, Scikit-learn, and related tools for 3D medical image
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networks Scientific programming for simulation, data analysis, and reproducible workflows (e.g., Python/Julia/Matlab/C++) Machine-learning–inspired methods for reservoir/neuromorphic computing and