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Field
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 2 months ago
algorithm and application, Programming (C++, Fortran, Matlab, Python), and Basin model development (PetroMod). It is recognized that not all applicants will have knowledge and experience in all of these areas
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month 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 24 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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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 24 hours ago
., TOUGH, PFLOTRAN) Proficiency with geologic and geostatistical modeling tools (e.g., Petrel) Strong programming skills (Python, R) for data analysis and machine learning. Ability to research independently
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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
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discipline. A strong curiosity for human gait and neuromuscular control after stroke. Experience with wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python
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programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity for, clinical/experimental gait data from neurological populations (stroke
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wearable-sensor (IMU) data and human motion analysis. Solid programming skills (ideally, in Python) for algorithm development, control design, and data analysis. Confidence and interest in testing and
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vision, and/or synthetic data generation for model training. Solid programming skills (e.g., Python) for algorithm development, data analysis, and computational modeling. Experience with, or affinity
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science, or a related field. Experience in energy transitions research Strong analytical skills, including proficiency in quantitative modelling, data analysis, and scientific computing (e.g., in R, Python