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Field
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component. Proficiency with Linux or Unix operating systems and command line. Proficiency in at least one high-level programming language (e.g., Python, R, C, C++, Julia, Matlab). Ability to work well with
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 2 hours ago
or related field with interest in applied optics. Programming skills, including MATLAB Excellent skills for designing and conducting highly specialized and advanced optical experiments. Experience in
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in English Experience with programming (e.g. in MATLAB or Python) Desired qualifications: The ideal candidate should have: Demonstrated knowledge of fluid dynamics Experience with anisotropic viscous
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, programming, systems thinking, and qualitative/quantitative research methods documented programming experience for example GitHub project on MATLAB, Python, Julia, Javascript experience in hydropower
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, programming, systems thinking, and qualitative/quantitative research methods documented programming experience for example GitHub project on MATLAB, Python, Julia, Javascript experience in hydropower
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, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design
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Proven expertise in MATLAB, C/C++ and/or Python programming and skills working with Linux and Windows workstations are required. Demonstrated experience with tomographic imaging and reconstruction, machine
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tomography, optical imaging or ophthalmoscopy. Programming experience with MATLAB, C++, and/or LabVIEW is desirable. Experience with image analysis software, such as ImageJ is also desired. Previous experience
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., Fortran) and for analysis and plotting (e.g., Python, Matlab) · Excellent written and oral communication skills, evidenced by peer-reviewed publications · Past experience and/or strong interest in
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learning applications involving images using Python, C++, OpenCV, Matlab and other related frameworks. Experience with state-of-the-art AI systems such as deep learning and convolutional neural networks