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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 14 days ago
concepts, specifically regarding ozone retrieval algorithms and validation methodologies. Proficiency in programming languages commonly used in scientific research, such as Python, R, or MATLAB, for data
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Fluency in mathematical concepts and manipulations Programming skills for acquiring and analyzing data (e.g., Python, LabView or MATLAB) Excellent verbal and written communication skills in English
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of unstructured clinical and biomedical data. 4. Experience with cloud-based and high-performance computing environments to support scalable data processing and model development. 5. Proficiency in Python and
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appropriate filtering, artifact rejection, and preprocessing techniques. Leading Role in Data Analysis and Machine Learning: Perform complex data analysis using statistical software such as Python, MATLAB, and
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, biophysics, applied mathematics, or related field. Expertise in machine learning, computer vision, or image analysis. Experience with data management and databases. Experience working with Python, scientific
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scientific data-analysis and visualization tools (e.g., MATLAB, Python, R) for processing MC-ICP-MS data and preparing publication-quality figures. Excellent verbal and written skills. Presentation skills
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, engineering, or a closely related quantitative field. Strong programming skills in at least one major scientific computing language such as R, Python, C++, or a similar language. Ability to conduct independent
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 14 days ago
, C++, Python, or equivalent Preferred Qualifications: • Experience with PIC-MCC codes used in plasma physics communities (EP, fusion, astrophysics, pulsed power, or related fields) • Background in EP
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; survey development and deployment (REDCap); and data cleaning, visualization, and analyses (R and/or Python). Ability to travel to our field site in Eastern Indonesia and work with our Indonesian-based
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, or human-centered ML. ●Proficiency in programming languages (e.g., Python) and ML frameworks (e.g., TensorFlow, PyTorch), with evidence in the form of public (Github) repository. ●Excellent abilities in