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methods for load identification and modelling to infer load behaviour from measurements at the grid supply point (GSP). Your work will help determine whether new load types need to be defined in the CLM
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modelling to infer load behaviour from measurements at the grid supply point (GSP). Your work will help determine whether new load types need to be defined in the CLM framework to accommodate new components
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distribution and with synthesised future sea-ice distributions; examine the impacts on barrier wind structure and associated surface turbulent fluxes. Examine the frequency, characteristics and ocean mixed-layer
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submit more than one application please indicate in your personal statement your preferred project.
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submit more than one application please indicate in your personal statement your preferred project. For further details about the EPSRC Doctoral Landscape Award at Exeter, please see the following webpage
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and reliability. You will integrate, adapt and develop methods (using packages such as BioSPPy) for the processing and analysis of physiological signals measured for determining deception. The project
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submit more than one application please indicate in your personal statement your preferred project. For further details about the EPSRC Doctoral Landscape Award at Exeter, please see the following webpage
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submit more than one application please indicate in your personal statement your preferred project. For further details about the EPSRC Doctoral Landscape Award at Exeter, please see the following webpage
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technology increases the grid’s exposure to cyber-attacks, which can compromise measurement signals, disrupt control commands, or induce model or data-driven instability. This project aims to develop a robust multi
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Theoretical models for gravitational wave signals emitted by coalescing compact binaries are the cornerstone of modern gravitational wave astrophysics. Among the most pressing challenges