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fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in mechanical engineering, computer science, or a related field completed within
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to develop predictive models for polymer-based materials. This project aims to leverage computational chemistry techniques and data-driven approaches to optimize the properties of novel polymer-based materials
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Science Initiative has supported the rapid growth of the departments of Statistics & Data Science and Computer Science, as well as many interdisciplinary activities in which the postdocs could participate
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Materials Analysis in the Nuclear Nonproliferation Division in the National Security Sciences Directorate at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Develop, validate, and extend
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Qualifications Minimum Education and Experience PhD, MD, or equivalent doctoral degree in Neuroscience, Biomedical Engineering, Computer Science, or a related field. Certifications/Licenses Required Knowledge
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models to evaluate therapeutic efficacy and pharmacokinetic profiles. Gaining exposure to cutting-edge transcriptomic, proteomic, and "imageomic" (high-content image informatics) datasets, as
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development. Here at Carolina, our highly skilled postdocs play a vital role in our
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/ Abilities Strong publication record which reflects some combination of the following: Hands on experience with AM technologies, particularly AFSD, cold spray, and LPBF Strong background in materials science
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sourced composite manufacturing for applications in aerospace, automotive, and marine/shipbuilding industries, as well as trending areas of international composite research in material science, mechanical
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Applied Interactive Multimedia laboratory in the Division of Engineering, New York