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at the Secret level or higher and may be subject to a government background investigation to upgrade clearance eligibility, if required Preferred skills/experience areas include: Python, C++, CUDA, time-series
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and students in the department Required skills/experience areas include: A Bachelor’s degree in an Engineering or Science discipline One or more of C/C++, Python, Fortran, Ada, MATLAB, and Simulink
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areas include: Bachelor’s degree in an Engineering or Science discipline plus five years’ relevant experience One or more of C/C++, Python, Fortran, Ada, MATLAB, and Simulink Linux Ability to engage in
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, or Python Creativity in environments where the problem is not initially well-defined Demonstrated ability to absorb a broad array of information from scientific and/or mathematical fields Demonstrated ability
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Students studying Math, Physics, Electrical Engineering, Computer Science, Data Science, or related fields are encouraged to apply. Preferred Skills: Experience in AI/ML Knowledge of Python, MATLAB
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master’s, PhD, or MD/PhD program in computer science, data science, biomedical informatics, engineering, biostatistics, or a related field Experience with Python and machine learning methods Interest in AI
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in advancing skills in data extraction. Specifically, the candidate will develop Python or Java code that extracts data from printed population registry books that have been digitized + OCR text
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-focused manner Familiarity with MATLAB, Python, Java Understanding of Continuous Integration / Continuous Deployment Ability to understand business requirements and translate them into technical
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, project management, computer science, or interdisciplinary research Familiarity with Python, R, Excel, or other organizational and computational tools Strong organizational, communication, and time
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of various performance technologies (Ex: GPS, force plate, heart rate, motion capture). Data analysis skills (Ex: Excel, Power BI, R, Python). Excellent verbal and written communication skills. Experience