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experimental X-ray scattering data. System Stability: Ensuring numerical reproducibility and stability in large-scale distributed training workloads. Learn more: Our benefits , where we prioritize your well
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have experience developing and running large numerical models and analysing complex datasets? Would you like to work with a world-leading team at Leeds to connect molecular-scale insight to cloud-scale
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sets combined with behavioural data (pupil diameter, speed, motor movements). Your skills and attributes for success: PhD in Neuroscience is required with experience in in vivo large-scale two-photon
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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aspects of ICT (Information and Communication Technologies). It is home to over 200 researchers with expertise in all communication and broadcasting systems and has developed the best-in-class large scale
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aspects of ICT (Information and Communication Technologies). It is home to over 200 researchers with expertise in all communication and broadcasting systems and has developed the best-in-class large scale
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., inverse probability weighting, or doubly robust approaches). They should be confident working with large-scale datasets in R or Stata, including data management and multiple imputation, and committed
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., inverse probability weighting, or doubly robust approaches). They should be confident working with large-scale datasets in R or Stata, including data management and multiple imputation, and committed
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to clinically viable agents and therapies. As a successful candidate you will: · Utilize a combination of cell biological, molecular biological, cell engineering and immunological assays, large-scale high
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the 2025 QS World University Rankings by Subjects. The key objective is to support efforts to advance cutting-edge research in photonic integration for quantum sensing, neuromorphic computing, and chip-scale