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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast
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Immunoprecipitation Mass spectrometry of Endogenous complexes). We have identified about 50 proteins that can associate with Ascl1 or other NEPC transcription factors, some of which are enzymes that could in theory be
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in physics is not possible without acknowledging the crucial role of observations and context in the foundations of quantum theory. If you are interested in deepening our conceptual understanding
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not possible without acknowledging the crucial role of observations and context in the foundations of quantum theory. If you are interested in deepening our conceptual understanding of the intersection
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- skills – experience: analytical skills, ability to demonstrate good knowledge in system modelling – simulation, (classical or modern) control theories or control applications with evidence Desirable
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of the assembly of these complex microbial communities using ecological theory and mathematical models. The questions we address are: (1) how does the microbial community change during cultivation
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about the ones you don’t check! Familiarity with the theory of electromagnetic fields and waves. Experience with programming in C++ and / or Python. Some exposure to parallel computing, e.g., OpenMP, MPI
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undertake a mixture of experiment, theory, and numerical simulations in the department of physics at the University of Exeter. The research question is how to effectively shape electromagnetic radiation when
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systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis skills Computational neuroscience background Behavioral data analysis skills Strong
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contributing positively to a collaborative research environment. Desirable: experience with building energy or power system applications, cooperative or coalitional game theory, or high-performance computing