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databases. Good knowledge of Python, pivot tables, and Power BI. Workplan and objectives to be achieved: Analysis of national energy consumption data by region; Study of the spatial and temporal
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metrics, or similar frameworks. Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high-performance computing (HPC
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such as R or Python, and word processing and spreadsheet programs Very good data processing skills, ideally with a focus on remote sensing Very good written and spoken English and German (each at least B2
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programming and computational skills (Python, PyTorch, TensorFlow, or equivalent). Desired Qualifications* Experience with the National Weather Center and its River Forecast Centers' Community Hydrologic
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communication skills and fluency in English are required. Ideal candidate will be adept at planning, prioritizing, multi-tasking, organizing, following through, and thinking on his/her feet. Knowledge of Python
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programming and computational skills (Python, PyTorch, TensorFlow, or equivalent). Experience with the National Weather Center and its River Forecast Centers' Community Hydrologic Prediction Systems (CHPS
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, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience implementing and evaluating state-of-the-art tracking algorithms such as DeepSORT, ByteTrack, and Transformer-based
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of radiation interaction with matter, dosimetry, and radiobiology. Programming experience with C++ or Python. Experience using Monte Carlo simulation programs such as Geant4 and Geant4-DNA, or TOPAS and TOPAS
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as occlusions, crowded scenes, and object re-identification. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and Python ML libraries (e.g., NumPy, OpenCV, scikit-learn). Experience
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, commensurate to opportunity. Demonstrated proficiency in Python, including data handling and backend development. Demonstrated experience developing applications interfacing with machine learning libraries like