23 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions at University of North Texas at Dallas
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chemical processes in complex condensed-phase systems, e.g., aqueous solutions, semiconductor interfaces, and polymers. These complex condensed-phase systems will be treated using first-principles machine
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students, and over 1300 bachelor students. We offer a Ph.D. degree in Computer Science and Engineering, M. S. degrees in Artificial Intelligence, Computer Engineering, Computer Science, Cybersecurity and
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that are unobtainable through other means. This opportunity focuses on understanding the relationships between processes and products in AM parts, with an explicit emphasis on microstructure analysis and computational
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materials used in defense applications. Online monitoring of additive manufacturing requires a deep understanding of process conditions and microstructural evolution, which can be modeled through machine
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in its admissions processes, and educational programs and activities, facilities and employment practices. The University of North Texas System promptly investigates complaints of discrimination
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in its admissions processes, and educational programs and activities, facilities and employment practices. The University of North Texas System promptly investigates complaints of discrimination
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. Operates specialized scientific equipment. Performs statistical analyses, including selecting the appropriate analysis procedure, setting up data for analysis, judging validity and reliability of data
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Expertise in processing skeletal remains for DNA analysis, including preparation of bone and tooth samples Proficient in a variety of DNA extraction techniques, particularly those tailored to ancient
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on the development of nanomaterials for AM and understanding of AM process optimization, functional materials design and compositional grading, electrochemical and piezoelectric responses in AM components
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the emphasis of the position will be on the development of nanomaterials for AM and understanding of AM process optimization, functional materials design and compositional grading, electrochemical and