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), machine learning (ML), deep learning (DL) and Data science methods for medical image analysis, to autonomously grade the fundus images from large datasets. This will be supported by Professor Neil Vaughan
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that you apply early as the advert may be removed before the deadline. The cryptographic protocols used to secure communications and data are safe under the assumption that problems like integer
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use and contribute to the Lean4 proof assistant, where we build foundational technology such as a powerful BitVector library, coinductive proofs, an embedding of MLIR's SSA data structures into Lean
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SMEs to large global manufacturers. For more information, please visit the MTC website: https://www.birmingham.ac.uk/research/centres-institutes/research-in-mechanical-engineering/sustainable
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propagate through bacterial communities while deactivating AMR genes. However, current designs are limited by scalability and complexity. This project aims to overcome these limitations by integrating large
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be used to efficiently simulate reservoir behaviour over large spatial and temporal scales. Particular attention will be paid to the role of lateral boundary conditions, reflecting whether geological
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Science, or a closely related field. Proficiency and interest in programming languages such as Python, MATLAB, or similar, used for large-scale data processing and model development. Excellent written and
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mass spectrometry experimental data, creating a unique multi-stranded methodology to map out free energy landscapes associated with protein folding in environments spanning gas-phase to microsolvation
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catchment hydraulic models and sewage network models, leveraging AI and other "big data" meta-analysis techniques to perform this in a computationally efficient manner. Provide guidance as to which sites and
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, large-scale biomedical datasets, including UK Biobank and the CPRD. It will integrate complex longitudinal data—including harmonized EHRs, genetics, and the novel features captured by the LLM—to generate