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which can change over time, depending on neural activity. Incorporating the dynamics of the state-dependent delays will require the development of new tools for coupled oscillator theory in time-delayed
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into hydrogen and nitrogen under practical onboard conditions. Successful candidate will develop and apply computational methods, such as density functional theory based atomistic modelling and machine learning
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offers a fully funded, four-year PhD studentship which will start in October 2025 on one of the following themes: Theme 1: AI-Driven Solar Forecasting for Smarter PV Integration Theme 2: Next-Generation
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