10 high-performance-computing-postdoc PhD positions at University of Texas at El Paso
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in computer science education and/or AI in education Produce high-impact scholarly publications in peer-reviewed journals and top-tier national conferences Secure and contribute to external research
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background in Computational Biology/Genetics/Genomics/Bioinformatics/Molecular Biology. Candidates with expertise in applying AI/ML to high-throughput omics data, processing, and curating large-scale omics
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an exceptional candidate for a full-time Research Assistant Professor (RAP) in Advanced Manufacturing, High-Temperature Composites, and Intelligent Materials. Housed in the Department of Aerospace and Mechanical
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., proteomics, lipidomics, small-molecule quantification), genomics, tissue culture, high-throughput drug screening, confocal microscopy, bioinformatics, and biostatistics. Biological Sciences faculty maintain
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systems (including robotics perception/planning stacks). Mentoring: Supervise MS/PhD students; co-author high-impact publications. Service: Support program development, workshops/symposia, and departmental
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UTEP's strategic initiative to develop a world-class research cluster in this field, supported by the UT System Regents' Research Excellence Program. Research Assistant Professors will contribute to high
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., proteomics, lipidomics, small-molecule quantification), genomics, tissue culture, high-throughput drug screening, confocal microscopy, bioinformatics, and biostatistics. Biological sciences faculty maintain
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) computational physics of strongly correlated electron systems closely related to energy storage in layered materials. Both positions will be for 3 years to work collaboratively and synergistically in the newly
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) computational physics of strongly correlated electron systems closely related to energy storage in layered materials. Both positions will be for up to 3 years to work collaboratively and synergistically on a
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to increase synergy and impact to the region and nation. The positions will concentrate on computational simulations and AI-driven tools, including materials discovery, design, property prediction, process