7 postdoc-parallel-computing Postdoctoral positions at University of Texas at Arlington
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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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, 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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research and strong analytical skills. The Lal Lab develops computational and systems biology approaches to understand treatment response, toxicity, and disease progression in cancer. Our research integrates
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and integrating computational modeling tools to assess future energy-water dynamics and resilience strategies for Texas communities. Ideal candidates should have strong computational and scientific
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volunteers Performs other duties as needed Required Qualifications PhD degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field Preferred Qualifications
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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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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