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Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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composite materials for next‑generation aeroengines. The role focuses on developing bespoke high‑rate experimental techniques and cutting‑edge simulation tools within Oxford’s Impact and Shock Mechanics
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Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological
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reflecting on the composition of our student body and outlining how they would engage all our students in their teaching, scholarship, and/or service. Please combine materials into one PDF document and email
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composite materials for next‑generation aeroengines. The role focuses on developing bespoke high‑rate experimental techniques and cutting‑edge simulation tools within Oxford’s Impact and Shock Mechanics
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curriculum, including: First-Year Composition Sophomore-level American Literature Upper-division undergraduate English courses Online graduate-level English courses The successful candidate will demonstrate a
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-reinforced composite materials through the key stages of manufacturing: lay-up, forming, infusion, and curing. A range of conventional and non-conventional metrology methodologies will be explored
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The Energy Technologies and Systems Division at Lawrence Berkeley National Laboratory is seeking a Postdoctoral Scholar to join the Jain (HackingMaterials) group within the Applied Energy Materials
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multispectral and hyperspectral UVvisible imaging and synchrotron X-ray analysis to map photoluminescent signatures, analyze elemental composition (heavy metals, rare earth elements, etc.) and the chemical