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learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows for crafting
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deep learning and generative AI approaches, creating synthetic virtual patient cohorts from multimodal datasets. Your work will involve designing advanced algorithms and high-throughput workflows
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novel multi-objective optimisation algorithms, to evaluate metrics such as material circularity, system efficiency, cost, and carbon footprint. The University of Surrey is ranked 12th in the UK in
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needs. By bridging human-centric innovation, generative algorithms, and sustainability metrics, this project seeks to redefine how novel products and systems are conceived, developed, and evaluated. You
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debugging and profiling Parallel numerical algorithms and libraries System software stack administration and novel/experimental hardware. Over the course of the appointment, the candidate will be supported
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algorithms. Project title: Multimodal AI for Immunology Applicants are invited for the post of PDRA in Multimodal AI for Immunology. The post-holder will develop multimodal deep learning models to predict
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, and assess irrigation investments. As part of the IrrEO project, the PDRA will lead the development and validation of national-scale irrigated area and agricultural mapping algorithms in two
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senior stakeholders. The AI Hub: The EPSRC-funded Erlangen AI Hub brings together leading minds from across the UK’s mathematical, algorithmic and computational communities, employing foundational tools
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, transcriptomics (bulk, scRNAseq) epigenetic profiling (methylome, Atac-Seq, Chip-seq) and proteomics, using computational methods. Algorithm Development: Designing and implementing algorithms to process, analyse
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colorectal cancer screening and treatment. They will contribute to the design of AI algorithms for polyp detection, tissue characterization, and visual guidance of robotic intervention. This is a full time