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Field
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analysing multi-modal data. Use Anthropic and/or OpenAI APIs. Perform large-scale training and testing on an HPC server. Disseminate the research results by writing papers and presenting your work
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develop next-generation power converters for mission-critical applications: from hyperscale AI hubs to MW-scale EV charging and smart grids. The UK’s Modern Industrial Strategy and commitment to Net Zero
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, spatially aware QC, normalization, cell segmentation integrating H&E imaging and transcript density, and spatial domain identification Single-nucleus integration and annotation: large-scale multi-sample batch
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this change and explore cutting-edge methods in chemical, mechanical, and plasma processing of metal ores for a truly circular economy. Correlating experimental, ab initio, and multi-scale simulations, as
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fluids and soft materials, and benefits from the expertise and equipment for macromolecular synthesis, multi-scale mechanical and structural studies, and the physicochemical characterization
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-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of
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curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
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of full-scale prototypes, ongoing efforts in the UK and globally are focused on scaling from single devices to multi-turbine farms to meet Net Zero commitments. As the sector moves toward multi
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curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of Deep Learning: Exploring mechanistic
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looking for a PhD candidate to join our research project entitled “Next-Generation Cognitive Testing: A Theory-Driven Approach to Multi-Scale Dynamics in Cognition”, funded by an ERC Consolidator grant