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engineering-based research applicable to cardiovascular disease as part of an extramurally funded project. The successful applicant will create computational models from medical imaging data and run simulations
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at Princeton University.We welcome applications from all areas in mechanical and aerospace engineering, including but not limited to the fields of: Bioengineering Combustion and Energy Science Computational
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The Computational Science and Engineering Laboratory at Harvard University invites applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications
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-on experience in: Additive manufacturing of High Entropy alloys and Al-based alloys Powder characterization – Microstructure characterization (SEM, EBSD, TEM, XRD) Mechanical testing (tensile, fatigue, creep
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capable of research combining experimental characterization with computational modeling of process--structure--property of structural alloys (aluminum, steels, superalloys). Desired qualifications include
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curious to deliver work that matters, your journey starts here! Innovation. Interdisciplinary collaboration. Complex problem solving. In Carnegie Mellon University’s Department of Mechanical Engineering
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
program is to cultivate diverse, well-trained, independent researchers at postdoctoral level for leadership in investigating efficacy, effectiveness, mechanisms of action, and implementation strategies
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minutes have a unique gene expression program and atypical chromosome segregation during mitosis; yet, the underlying mechanisms remain elusive. This project aims to elucidate the chromatin structure and
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: 278807940 Position: Postdoctoral Research Associate Description: The Computational Turbulent Reacting Flow Laboratory, led by Prof. Michael E. Mueller, invites applications for postdoctoral or more senior
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disease, including AI-powered tools and new statistical techniques that leverage large datasets, heavy computational capabilities, and/or a robust understanding of biological systems to provide unique