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techniques, distributed computing, real-time systems, data science, database systems, and/or networking MATLAB, Python, distributed computing architectures, and middleware Your working location will be full
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of MATLAB or Python Ability to take data in an organized fashion and write a report about their results Students in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Computer Engineering
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in Machine Learning, Computational Biology, Bioinformatics, Computer Science, Statistics, Data Science, or a related field is preferred. Strong proficiency in Python for scientific computing and
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Additive Manufacturing for aerospace applications Microsoft Office and Adobe products Programming languages such as Python and C++ Current eligibility for access to classified information at the Secret level
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analysis, and image processing (LabVIEW, MATLAB, ImageJ, Python, Open CV, etc.) Infrared systems design and performance test methods. Developing and fielding optical systems for military applications Laser
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of general scripting languages (Bash, PowerShell, Python, etc.) Your working location will be fully on-site, located in Keyport, Washington. This position will require <20% periodic travel to remote locations
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. Preferred Qualifications: Experience with a statistical language such as R or python Schedule: This position will not exceed 20 hours per work week. Remote work is possible. Compensation: The starting rate
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manipulation and pruning Optical sensor hardware/software components Evaluate/develop remote sensing operational requirements MATLAB/Python modeling and simulation EO principles MINIMUM EDUCATION, WORK
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. Experience with MATLAB, C/C++, and/or Python is preferred. The successful candidate will work up to 20 hours/week during the fall and spring semesters and 40 hours/week over the summer. This is a paid
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Additive Manufacturing for aerospace applications Microsoft Office and Adobe products Programming languages such as Python and C++ Current eligibility for access to classified information at the Secret level