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interpretation through deep learning model development using Python and MATLAB. Why should I apply? Under the guidance of a mentor, you will engage in a variety of research activities, including: developing
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or Masters of Engineering degree. Candidates are expected to be fluent in electrical circuit design, microcontroller programming, optical design, and Python programming. Introductory (or higher
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as part of a team. Experience with programming languages such as Matlab or Python is a plus. Application Requirements A complete application consists of: Zintellect Profile Educational and Employment
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the appointment start date. Preferred skills: Knowledge and experience in multiple programming languages and platforms (eg Python, perl, C/C++, R, and SAS). Familiarity with NGS based sequence analysis including
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) surveillance. Analyze large-scale data and summarize findings using statistical software (SAS, Python, R, and/or similar programs). Improve standardization, utility, and public health potential of data systems
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applications including R, python and GitHub Strong background in and knowledge of remote sensing with a variety of data sources Experience with USDA Forest Service Forest Inventory and Analysis (FIA) data
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, or related field. Proficient in MATLAB and/or Python. Experience with image processing and rectification. Strong understanding of coastal and ocean wave physics. Application Requirements A complete
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in Python or R. Python preferred. Knowledge of sensor placement and instrumentation, especially for water systems (e.g., pressure, flow, or water quality sensors). Knowledge of open-source water system
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and gamma-ray detection and radiation transport codes (e.g., Geant4, MCNP) Proficiency in scientific computing (e.g., C++, Python) Strong initiative, organizational skills, and motivation Strong writing
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data analysis software like Excel, Python, and Matlab. Application Requirements A complete application consists of: Zintellect Profile Educational and Employment History Essay Questions (goals