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and integration of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in
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records in hydrology, AI/ML, or water resources engineering. Preferred Qualifications Experience with: LLMs, graph neural networks, transformers, or physics-informed neural networks (PINNs). Cloud computing
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comprehensive engineering program in North Texas, with 12 baccalaureate, 13 Master’s and nine doctoral programs. The University is classified as a Research 1 University — Highest Research Activity by the Carnegie
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, Climate Science or a related field. Experience in earth system modeling, data assimilation, and remote sensing of land surface variables. Experience with parallel computing on high performance cluster
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proven track record in reservoir modeling, optimization, and high-performance computing. Proficiency in C/C++ and Fortran. Good verbal and written communication skills. Preferred Qualifications Experience
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. Experience in developing and applying advanced parametric/machine learning postprocessing techniques, producing probabilistic forecasts of hydrometeorological variables, and parallel computing. Proficiency in
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of multimodal neuroimaging, behavioral and clinical data, and building large-scale deep learning models for multimodal neuroimaging datasets to construct predictive network models in psychiatric disorders
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program in North Texas, with 12 baccalaureate, 13 Master’s and nine doctoral programs. Students from around the world work with award-winning faculty in state-of-the-art facilities, acquiring the knowledge