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-driven AI models that capture the underlying process–structure–property relationships governing metal additive manufacturing. By combining mechanistic modelling, in-situ sensing, and machine learning
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– you’ll nurture a structured and collaborative working environment Relationship management – you’re skilled at building partnerships and managing key accounts, working University-wide and externally Strong
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an annual stipend of up to £10,000 Supervision and guidance from leading experts in the field Structured research training at SOAS. Access to workspace and resources to attend and present at national
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Built Environment portfolio, particularly within our established and high-impact programmes in Quantity Surveying and Construction Management. This post will support the School’s broader strategic aims
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‑quality Innovate UK, KTP and iPhD funding proposals. Conduct opportunity scanning, market research, and landscape analysis to identify strategic R&D prospects. Provide guidance on proposal structure, non
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projects that uplift personalised diagnostics through the integration of high‑throughput genomic sequencing data with structured clinical data from electronic health records. Develop, implement and maintain
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Management Trainee to join the department as part of a structured development pathway designed to build future leaders within Estates. This five-year fixed-term role provides a unique opportunity to gain hands
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projects that uplift personalised diagnostics through the integration of high‑throughput genomic sequencing data with structured clinical data from electronic health records. Develop, implement and maintain
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. More information on our structures and initiatives around EDI, including information on staff diversity networks, can be found on our Equality and Diversity Intranet page .
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integrate and refine computational tools developed by the XChem Fast Forward Fragments team at Diamond Light Source, enabling rapid compound design, synthesis, and structural evaluation. You will operate