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materials as an addressing these challenges. A large experimental research programme is now attempting to explore these materials further and develop them for use in devices. To underpin this research we need
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full UK driving licence, be confident driving long distances, and comfortable with overnight stays (work-related expenses are covered, you do not require access to your own vehicle) Provide information
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in our large and diverse academic School of Biosciences. As this role requires a combination of state-of-the-art approaches, it provides an excellent opportunity to develop your skills in
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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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element models. ● Work collaboratively with other colleagues for the validation of the finite element models of rib samples based on in situ mechanical testing data. ● Lead the model uncertainty
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Doctoral Training Partnership (DiMeN DTP). Our training partnership comprises the five large civic universities at Leeds, Liverpool, Newcastle, York and Sheffield. This partnership aims to create a
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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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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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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