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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | 27 days ago
modeling (ROM) Some experience with various programming tools (Python, MATLAB, C++, C) Some familiarity with machine learning: predictive modeling, anomaly detection, supervised learning, deep learning
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 13 hours ago
experiments, Geomechanical characterization and analysis, High resolution image analysis Machine learning algorithm and application, Programming (C++, Fortran, Matlab, Python), and Basin model development
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discipline. Knowledge of data analysis, scientific programming, or AI/ML methods using languages such as Python, MATLAB, or C/C++. Experience or strong interest in high-precision advanced manufacturing
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applied perspectives. Strong programming skills in R, MATLAB, and Python are highly desirable. The successful candidate is expected to be fluent in English and open to both national and international
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moving recordings, and spike sorting. Experience with sleep recording and analysis (EEG/EMG, sleep scoring, sleep oscillations). Proficiency in electrophysiological data analysis using Python, Matlab
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 13 hours ago
., CMG GEM, Eclipse) and/or open-source porous media transport codes (e.g., TOUGH, PFLOTRAN) Proficiency with geologic and geostatistical modeling tools (e.g., Petrel) Strong programming skills (Python, R
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, dimensionality reduction, clustering, trajectory modeling) Lead reproducible analysis pipelines in R, Python, or related frameworks Interpret results in biological and clinical context, with emphasis
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measurements. Proficiency in programming languages and data analysis tools such as Python, Matlab, and R. Proficiency in GIS software (e.g., ESRI ArcPro). Hydraulics of flood control and storm surge suppression
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languages like Python or C, and or developing and/or using computational methods for analyzing large datasets. Demonstrated experience in developing computational algorithms for solving problems, preferably
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. Strong expertise in energy systems modeling, particularly optimization-based approaches, and demonstrated experience with scientific programming and data analysis using tools such as Python, Pyomo, Pandas