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respond to future change. Your project will combine large-scale data synthesis, ecological theory and modelling to answer two central questions: 1. What is the functional diversity of grasses worldwide
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Large Eddy Simulations (LES) provide detailed 3D turbulence information, often used to understand the underlying physics and calibrate simpler models. Recently, research has focused on controlling wind
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data acquisition systems capable of handling the high radiation environment and intense magnetic fields around fusion reactors to understand how muons propagate through large reactors and interact with
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for speech technology the variability of input data is large and recordings can occur in highly complex acoustic and linguistic settings. The standard approach to this date is to build models with large
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antimicrobials is of great interest currently. Among the bacteriophage a class of large, widespread, antibacterial viruses known as Jumbophage are receiving much attention due to the novel mechanisms they employ
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all year round Details Project details: Artificial Intelligence (AI) has been shown to be important in obtaining ‘big data’ from whole slide images (WSI) and offers unique opportunities for automated
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, AI-based tools are being increasingly utilised to analyse "big data" from digital whole slide images (WSIs), enabling the identification of novel digital biomarkers and informing precision treatment
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to a range of subject areas, including health inequalities, policy evaluation, and more, using large datasets. This will result in a series of both methodological and substantive journal articles and
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firefighting search and rescue teams. The project scope is on real-time solutions for a small, medium and large number of entities with a swarm of UAVs. Computer Vision and Machine Learning approaches will be
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-energy particles with detectors at the CERN Large Hadron Collider. You will work alongside and receive training from researchers and research software engineers within STFC, RSE Sheffield and with