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fair consideration. Challenge. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings
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apply. Your application will receive fair consideration. Challenge. Change. Impact! Faculty of Electrical Engineering, Mathematics and Computer Science The Faculty of Electrical Engineering, Mathematics
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mechanical stress into useful electrical energy, enabling autonomous sensors and systems in demanding industrial and structural environments. The research will involve a combination of analytical modelling
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heat at tremendous conductivity. This creates a compact and efficient system for thermal energy storage, exploiting phase transition to store thermal energy in terms of an increased temperature, as
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energy poses many challenges to the current status of control theory. Namely, existing control methods do not scale with the increased size and heterogeneity of such systems, which typically comprise a
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, device modelling/simulation aspects of new tunnelling devices. By using dedicated electrical dc and RF measurement equipment within our measurement & test centre, you will develop and carefully analyse
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. However, while the leaky integrate-and-fire (LIF) neuron is the current de-facto neuron model in neuromorphic hardware, it embeds only one single time constant limited to a few tens of milliseconds
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the gap between current ML/AI tools — which typically require large, dense datasets — and the realities of lab-scale chemistry and early-stage drug research, where data are often scarce, sparse
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electrical power, enabling smart sensors to operate without batteries. You will explore novel capacitor-based rectifier architectures, adaptive impedance-matching algorithms, and on-chip protection mechanisms
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knowledge is established, the processes of transport and burial during turbidity current events remain poorly understood. Previous experimental research into turbidity currents has been fundamental in