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Field
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RAP opportunity at National Institute of Standards and Technology NIST Modeling Complex Microstructures Location Information Technology Laboratory, Applied and Computational Mathematics Division
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Microstructure of Structural and Functional Ceramics for Additive Manufacturing, Energy Conversion and Storage NIST only participates in the February and August reviews. Control of microstructure
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NIST only participates in the February and August reviews. Additive manufacturing (AM) of metallic alloys produces extreme heating and cooling cycles that result in unexpected microstructures and
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Electrosynthesis is becoming increasingly important as the chemical industry seeks more sustainable production methods. Instead of relying on fossil-based processes, it uses electricity – ideally from renewable sources – to drive chemical reactions, offering exciting opportunities for greener...
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Exploring Material Behavior Across Scales: Mechanical Characterization, Microstructural Analysis, FEA/AI/ML Modeling, and Automation Approaches NIST only participates in the February and August
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plasticity modelling at Manchester. The models will be informed by advanced characterization of the microstructures of relevant alloys using electron microscopy. Validation will be performed through trials
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
15th March 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a SFI FAST: PhD position in Microstructure/texture evolution during extrusion
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out within the DFG Priority Programme “DaMic - Data-driven Alloy and Microstructure Design of Sustainable Structural Metals” (SPP 2489), in close collaboration with a research partner responsible for
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Multi-scale Modelling of New Materials and Microstructure for Offshore Wind Turbines Offshore Wind CDT PhD Research Project Directly Funded UK Students Dr C L Freeman, Dr J Dean, Dr Ziad Azar
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. The project will then involve: - X-ray micro-tomography imaging and segmenting the resulting 3D images with AI-based tools already available in the team. - Characterizing the microstructure (binder distribution