11 parallel-processing-bioinformatics PhD positions at University of Texas at El Paso
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About The University of Texas at El Paso: The University of Texas at El Paso (UTEP) is a Carnegie R1, opportunity, and community engaged university at the heart of the U.S.-Mexico border region that is increasing access to excellent higher education. We advance discovery of public value and...
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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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., 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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., 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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About The University of Texas at El Paso: ABOUT THE ECE DEPARTMENT: The Department of Electrical and Computer Engineering at UTEP (http://ece.utep.edu) offers two undergraduate and three graduate
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About The University of Texas at El Paso: ABOUT THE ECE DEPARTMENT: The Department of Electrical and Computer Engineering at UTEP (http://ece.utep.edu ) offers two undergraduate and three graduate
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Research. CS faculty lead impactful research in areas such as Artificial Intelligence, Cybersecurity, Software Engineering, Computer Systems, and Theoretical Foundations of CS. Our faculty are nationally
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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
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transformative fabrication approaches that enable novel material performance, improved processing pathways, and deployable structural solutions for aerospace, energy, defense, and industrial applications. Key
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Manufacturing and/or AI Robotics. Focus areas include: yield/defect causal analysis and XAI; process-variation monitoring and root-cause analysis; intelligent scheduling/dispatching for WIP/throughput (multi