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Field
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scientific computing, to name a few. Modern LC applications rely heavily on accurate and efficient mathematical modelling of confined LC systems. Typical questions are - can we theoretically predict physically
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with chemical descriptors to enhance uncertainty robustness Building Uncertainty-Aware General Purpose Models Merge developments into a unified, efficient MLFF architecture Train MLFFs on large, diverse
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Fully-funded 4-year PhD Studentship (UK Home fee status): Numerical simulation of boiling flows for high heat flux fusion components Aim and Objectives This project aims to develop a high-fidelity
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supporting the transition towards new methods of modelling and simulating battery failure, i.e.: gas venting, fire and explosion. The PhD is sponsored by BP and will take place within the Battery Systems team
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for the position. Preferred selection criteria Experience with numerical modelling of structural or aeroelastic systems Experience with structural monitoring or experimental structural dynamics Experience with data
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for the position. Preferred selection criteria Experience with numerical modelling of structural or aeroelastic systems Experience with structural monitoring or experimental structural dynamics Experience with data
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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well as European coastal and marine policies (especially EU-MSFD, EU-WFD and EU Nature Restoration Law) Experience in numerical model data extraction with Python and data analysis in R as well as experience in
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their operational reliability. The PhD student will combine mathematical models, in-house laboratory tests in a wind-wave-current flume (https://research.ncl.ac.uk/amh/ ) and numerical methodology to quantify
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the University of Stuttgart, and with the right to award doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as