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of solar energy systems, applying machine learning methods, and data analysis. A background can be in materials engineering, physics, electrical engineering, computer science, or another suitable field. In
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. Who are you? We are seeking a talented and motivated candidate to implement Artificial Intelligence/Machine Learning (AI/ML) algorithms for modeling and improving the observation of hydrological
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