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lack of data is easing. Hence, Artificial Intelligence (AI) techniques such as Machine Learning can be applied for power distribution network analysis to create improved observability and implement
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Intelligence (AI) techniques such as Machine Learning can be applied for power distribution network analysis to create improved observability and implement proactive operational measures such as activation
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/data assimilation/machine learning methods/data-driven modelling/stochastic models Programming skills and high-performance computing and parallel programming Emphasis is also placed on your: motivation
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/data assimilation/machine learning methods/data-driven modelling/stochastic models Programming skills and high-performance computing and parallel programming Emphasis is also placed on your: motivation
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Elisabeth Tønnesen 11th April 2024 Languages English Norsk Bokmål English English PhD Fellowship in Digital Twin Solutions for Offshore Wind Apply for this job See advertisement Job description The
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statistically significant data. Explore machine learning algorithms in the analysis of the measurement data, in order to develop AI tools for structural health monitoring applications. Use the measurement data
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statistically significant data. Explore machine learning algorithms in the analysis of the measurement data, in order to develop AI tools for structural health monitoring applications. Use the measurement data
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environmental conditions. Digital Twin technology creates a virtual clone of a structure using 3D modelling and can relate to other digital transformation technologies such as Machine Learning and big data
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research is at the forefront of tackling these challenges, focusing on cutting-edge cryptography-based solutions. The research will navigate the complexities of adversarial machine learning attacks and
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knowledge/understanding in at least two or more of the following areas: algorithmic machine learning systems mathematical modeling and numerical simulations drilling systems and operations verifiable computer