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microbiologists and drug discovery scientists to support bacterial strain construction, tissue culture maintenance, infection experiments and compound screening. This project is a joint programme between the
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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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agenda for sustainable livestock in Europe. You will also help design and facilitate structured stakeholder/scientific workshops to review and refine these findings. You will be responsible for integrating
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on both micro- and macro-level data. Duties may include data collection and construction, statistical analysis, computational work, replication of results, and contributing to the preparation
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Applications are invited for a postdoctoral researcher developing new families heterogeneous catalysts based on nanostructured supports with controlled surface chemistry and electronic structure
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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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with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from