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Field
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learning algorithms and specific applications in GeoAI In-depth knowledge of spatial/GIS programming, preferably in Python A proven track record of application of machine learning to real-world problems
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modelling, advanced AI algorithms, and decision-support tool development for various hydrogen technologies-based energy systems. Responsibilities will include programming, analysing and interpreting data, and
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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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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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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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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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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
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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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mathematical, algorithmic and computational communities, employing foundational tools to break new ground in AI, and redefine its future use to benefit science, industry, the economy and society. The Hub