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electric motor manufacturing platforms at both locations. Project Description Electrification is a main enabler for decarbonised transportation. Ambitious roadmaps to achieve the “Net Zero” target by 2050 in
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the oscillation and decay of waves in systems where energy can escape to infinity, replacing eigenvalues and eigenfunction expansions in non-compact domains. The consideration of analytic or Gevrey regularity in
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Electrification is a main enabler for decarbonised transportation. Ambitious roadmaps to achieve the “Net Zero” target by 2050 in the UK require step-change performance of electrical motors from a state-of-the-art
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PhD Opportunity: Critical transitions in timeseries from soil & earthquakes From the collapse of the Amazon rainforest to financial markets, from earthquakes to degraded farmland - complex systems
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Primary supervisor - Dr Amr El-Demerdash Many natural products (NPs) show remarkable biological activity, yet their clinical potential is often limited by poor solubility, metabolic instability
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narratives from CLDs, making complex systems insights accessible to policymakers and public audiences. Using a mixed-methods, socio-technical design, 4–6 comparative workshops (traditional vs AI-integrated
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aberrations that underpin these diseases. This includes rearrangements in highly complex and repetitive regions of the genome, such as those seen in DUX4-rearranged leukaemia. Other cancers (such as paediatric
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About the project: Advanced Monte Carlo methods for glassy dynamics and complex materials Supervisor: Dr Michael Faulkner, University of Warwick Glasses are materials that combine macroscopic solid
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complex physical systems to perform tasks such as prediction, classification, and signal processing. However, one major challenge remains: We still do not fully understand what makes a reservoir computing
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Research area and project description: AI data centres are digital engines, yet ~30% of energy is wasted as heat in power conversion and distribution. Directly addressing the UK’s Clean Power 2030