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Field
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detection, real-time data analysis and/or predictive modelling, particularly for dynamic and safety-critical environments. Interest in AI sustainability, including resource efficiency, scalability
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for the development of more predictive preclinical platforms. This PhD project is part of the ANR JCJC EXOFLEX project, which aims to develop an instrumented microfluidic platform capable of simultaneously controlling
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predictive maintenance of ships and maritime systems. Modern vessels generate large amounts of heterogeneous operational data from sensors, machinery, control systems, maintenance records, and other sources
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translational model based on patient-derived tumour organoids that reproduce the realistic microanatomy of the tumour. These organoids will be used for translational testing of nanotherapeutic activity
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predictive controller commanding the laminar cooling banks. Closed-loop EM microstructure control has not previously been demonstrated in the open literature. Funding: This studentship is funded directly by
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detailed knowledge of the performance parameters that affect their application software, as it aids in making future technology choices, predicting performance and scalability, and adapting critical software
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of the performance parameters that affect their application software, as it aids in making future technology choices, predicting performance and scalability, and adapting critical software to new developments
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
cellular observations. Where appropriate, modern structure prediction tools may support the construction of realistic simulation models. The project is ideally suited for candidates interested in molecular
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, from fundamental theory, laboratory experiments, and detailed numerical simulations, to mesoscale pore network modeling and upscaling to continuum-scale theories that can be applied in application
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of the MOST (Modelling and Simulation of Turbulence) team focus on the numerical prediction of turbulent and multiphase flows with a broad range of objectives from fundamental understanding of flow properties