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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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methods (e.g., AFM, Nano-IR, STM, SECCM, SICM, SECM), advanced light and electron microscopy, materials synthesis (e.g., conductive metal-organic frameworks, 2D/hierarchical structures, nanoparticles
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position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We
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project focused on the development machine-learning powered digital twin system for the structural performance of civil engineering structures. The project is a collaboration between multiple research
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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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creative, multidisciplinary approach, and as such provide opportunities across parasitology, structural biology, biochemistry and cell biology including single molecule fluorescence microscopy, CRISPR/Cas9
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Participation in experiments as well as design and construction of instruments and/or sample environments with practical work at neutron sources Supervision of MSc and BSc students Presentation of research
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energy densities exceeding LMFP and competitive with NMC. A postdoctoral research position is available on this 3D-CAT project in the area of computer modelling and materials design of lithium battery
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Apply now Job no:502196 College / VP Area: College of Arts & Sciences Work type:Staff Location:Newark, DE Categories:Research & Laboratory, Full Time Salary Structure CONTEXT OF THE JOB
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research projects require a creative, multidisciplinary approach, and as such provide opportunities across parasitology, structural biology, biochemistry and cell biology including single molecule