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. Not only this, but the postholder will examine the biological and environmental factors that have led to elevated extinction risk among marine organisms over 465 million years of evolutionary history
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About The University Swansea University is a research-led university that has been making a difference since 1920. The University community thrives on exploration and discovery and offers the right
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countryside. Our talented scholars and researchers from around the world are tackling global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things
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algorithmic graph theory. The purpose of the role is to contribute to the project "Algorithmic meta-classifications for graph containment", working with Professor Matthew Johnson, Dr Barnaby Martin and
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The Role Applications are invited for a Postdoctoral Research Associate in Computer Science with a particular emphasis on structural and algorithmic graph theory. The purpose of the role is to
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About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
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care have been part of the journey to place this technology on the market. Different grants have been awarded to the project, including the prestigious Biomedical Catalyst from Innovate UK. The later is
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analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways
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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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involving different decarbonisation technologies, as well as the development of AI-driven decision-making tools for optimising low-carbon marine powertrain designs. This position is part of the Horizon Europe