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parameters. The model is used for condition monitoring and fault detection using methods focusing on statistical methods using residual generation and Kalman filtering. Qualifications: Phd and master's degree
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to the continuous development of the Gaussian-Linear Hidden Markov Model ( GLHMM ) toolbox. In this role, you will be responsible for applying and validating statistical testing methodologies using datasets obtained
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