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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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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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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
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with data processing and interpretation using some of the widely used, and field-standard software tools, mentioned below: Proteomics: Proteome Discoverer, MaxQuant + Perseus, Spectronaut (DIA), FragPipe
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visualization. Expertise in data processing and analysis using HPC and Galaxy platform and familiarity with widely used, and field standard software, webtools and packages, including HISAT2, Salmon, Rsubred
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DEPARTMENT The Department of Electrical and Computer Engineering at UTEP (http://ece.utep.edu) offers Bachelor of Science (B.S.) and Master of Science (M.S.) degrees in Electrical Engineering and in Computer