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strong foundation in machine learning and deep learning (Python, TensorFlow or Pytorch). Experience with image processing / computer vision. Experience with cloud computing, cloud development ecosystem
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Qualifications: Ph.D. in applied hydrology, civil engineering, computer science, geoscience, or related field. Skills and Knowledge: Strong interest in (or skilled in) the development and application of hydrologic
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machine learning libraries such as PyTorch. Experience with version control systems (e.g., Git) and collaborative software development. Background Investigation Statement: Prior to hiring, the final
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. Primary duties of the successful candidate will include conducting research and scholarship, aiding the team in developing innovative ideas for future proposals, preparing grant proposals, serving as Co-PI
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electronic health records) and developing computational models. Establishes frameworks for data modernization, integrating metadata and varied datasets to create databases suitable for cross-disciplinary AI
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. Develops and applies numerical and statistical models to better understand and predict flood risks in coastal environments, including the integration of hydrodynamic, climatic, and socio-environmental data
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: Bachelor's degree in related field (Psychology, Neuroscience, Human Development and Family Studies, etc.) Must have valid U.S. driver's license. Must be at least 19 years of age at time of hire and have an