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Field
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learning, mathematical analysis, mathematics of data, modeling & simulation, multiscale methods, numerical analysis, optimization, ordinary and partial differential equations, numerical solvers, quantum
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power electronic converters (PECs) have been introduced to control and transform electric power - and permeate society for numerous applications: zero-emission transport, renewable energy, and
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tight AI-simulation coupling. What is Required: PhD in Physics, Chemistry, Computational Science, Data Science, Computer Science, Applied Mathematics, or a related numerical field. Programming experience
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monitoring (CM) solutions by integrating CM data with SCADA and inspection data. Modular performance analytics using SCADA, numerical, and CM data to assess fault impacts on efficiency and to forecast system
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numerical flow modeling, with a focus on transient regimes, species transport, and the application of RANS and LES turbulence models, primarily using ANSYS CFX and Fluent; Skills in conducting experimental
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an exciting opportunity to contribute to a high-impact, mixed-methods study that champions inclusive, ethical and co-produced research with people living with dementia and their carers. You will work
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survivor perspectives. The study focuses on stakeholder and survivor engagement in focus countries: the UK, South Africa, and Kenya. The study adopts a mixed-methods approach, combining systematic evidence
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operating conditions and fault scenarios. Development of condition monitoring (CM) solutions by integrating CM data with SCADA and inspection data. Modular performance analytics using SCADA, numerical, and CM
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methods and metrics to assess the effectiveness of science communication and translation initiatives. Support the implementation and analysis of these evaluation frameworks. Leadership in Communication and
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in appropriate qualitative and quantitative research methods, software and tools in a relevant research context. Proven scholarly writing skills (Level D) and experience in preparing publications for a