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) and Computational Fluid Dynamics (CFD), for polymer composite manufacturing processes Perform multi-physics simulations involving coupled thermal, mechanical, and material behavior across multiple
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Learning Through Research (CATLR), and the Office of Faculty Development (ADVANCE). We welcome applicants with recently-awarded PhD, EdD, or related doctoral degrees (2023 or later) from the humanities and
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-completed PhD with strong background in Materials Science or Physics (within the last 5 years) Considerable experience in understanding magnetic-domain physics in thin film and/or nanostructured materials
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chemical spaces with underexplored materials compositions (ternary or multinary) or unusual crystal structures (zintl, chalcopyrite, kesterite etc) Experience in fabrication and characterization
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composites and develop science; and engineering methods for designing, scaling, optimizing and controlling relevant manufacturing processes. These positions will be based at the Rutgers’ School of Engineering
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sites; (20%) • Conduct analytical work at Duke labs to analyze the chemical and isotopic compositions, of rocks, waste rocks, tailings, groundwater, surface waters; (30%) • Evaluate data, write
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the molecular and systems-level mechanisms that coordinate amino acid metabolism and seed proteome composition, with an emphasis on translational regulation and proteome rebalancing. The postdoc will lead and
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, and contact information for 3 references. Required Qualifications - PhD in Mechanical Engineering, Materials Science and Engineering, Polymer Science and Engineering, Electrical Engineering or a related
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of neutron irradiation on the mechanical and thermophysical properties of nuclear ceramics, composites, structural alloys, and related materials. Conduct detailed microstructural and defect characterization
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material property database for composites. The candidate will utilize the database to develop AI models for composite discovery. The candidate will work with a multidisciplinary team to set up finite element