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. This Postdoctoral position will be expected to conduct research in the general area of hydrology under the supervision of Dr. Mukesh Kumar. Works on the evaluation and development of the next-generation (eco
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various sets of data to prepare databases for cross-disciplinary AI research and learning. Incorporates open knowledge graph networks. Takes the lead in drafting scientific papers and technical documents
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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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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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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