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Field
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of Technology. The mission of the Dynamics and Control Section is to perform research and train next-generation students on the topic of understanding and predicting the dynamics of complex engineering systems in
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analyzes longitudinal data on participation. Examples of questions that will be answered are: How can we disentangle age and cohort effects in order to predict the future course of the classical music
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to monitor patients’ health condition continuously and accurately after surgery to measure and evaluate patients’ recovery progress, timely detect and even predict clinical adverse events like delirium
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explore how artificial intelligence can be used to predict the response to therapy in cases of acute rejection of the kidney graft. Using machine-learning techniques, you will assess kidney transplant
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Cardiovascular Data & Hemodynamic Monitoring in the ICU Our goal: Gaining new insights and improve prognostication in critically ill patients by integrating cardiovascular risk factors into existing ICU prediction
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devices. Yet, predicting and exploiting nonlinear behaviour, particularly the role of modal couplings in energy transfer and dissipation, remains a fundamental challenge. This PhD project offers a unique
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Discovery to Engineering Job description Nonlinear dynamics lies at the centre of many mechanical systems, from large-scale structures to nanoscale devices. Yet, predicting and exploiting nonlinear behaviour
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. The principal goal of the PhD project is to develop component models with a greater physical accuracy and predictive capability by employing state-of-the-art methods for the following two modelling approaches
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, such as the mean and standard deviation of some target property or for (2) model-based prediction (i.e., mapping) of environmental properties such as forest biomass. However, sampling and measuring at new
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units for (1) design-based estimation of population parameters, such as the mean and standard deviation of some target property or for (2) model-based prediction (i.e., mapping) of environmental