9 high-performance-quantum-computing-"https:"-"https:"-"https:"-"https:" PhD positions at University of Texas at El Paso
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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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) 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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devices. The successful computational candidate must hold a Ph.D. in Physics or a closely related field and demonstrate expertise in developing quantum many-body methods, such as GW combined with dynamical
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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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., 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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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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Manufacturing and Process Optimization. Space and Harsh-Environment Materials Multifunctional and Bioinspired Systems. Requirements: Minimum: Ph.D. in Mechanical Engineering, Materials Science, Computer