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Field
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems
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Identifying and validating models for complex structures featuring nonlinearity remains a cutting-edge challenge in structural dynamics, with applications spanning civil structures, microelectronics
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sources compared with gas turbines, etc. The aim of this PhD research is to develop novel performance simulation capabilities to support the analysis and optimization for sCO2 power generation systems
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knowledge gaps. The project involves both linear and nonlinear dynamics modelling and analysis, as well as experimental testing. An equivalent test structure will first be constructed in the vibration
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Primary Supervisor: Prof Neil Hall Scientific background Ectomycorrhizal fungi (ECMF) are a crucial yet often overlooked group of organisms that play a key role in the functioning of terrestrial
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Imperial College London Department of Mechanical Engineering PhD Studentship in Biomechanics: Improving the Performance of Total Knee Replacements Applications are invited for a research studentship
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Title: Dynamic Processes in Organic Functional Materials Supervisors: Professor Paul R. McGonigal & Dr Alyssa-Jennifer Avestro Start date: 1st October 2026 Applications are invited for a DPhil
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production. They represent an alternative energy system (proton pumping RHOs – ppRHOs) to support growth under unfavourable conditions (e.g., iron limitation). Hence, since ppRHOs play a key role in enhancing
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warming independently reduce the efficiency of microbial carbon use, which can translate to high C-efflux and lower potential for C-sequestration. In other words, both warming and antibiotic contamination