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Advancements in deep learning have led to a new era in speech processing, where deep learning models demonstrate exceptional performance across various tasks, such as automatic speech recognition
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learning techniques for monitoring the health of the main bearing in wind turbines. This innovative research aims to enhance the operation of next-generation offshore wind turbines through the development
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activities, coded as Action Units(AU) in a facial action coding system. Based on existing datasets, this PhD project will strive to automate this process. First, the focus will be on research and development
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information on the PhD programme, application procedure, and admission requirements. The application must include the following and be written in English or Danish Application for enrolment Copy of diplomas
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([email protected] ) and Professor Kim Guldstrand Larsen ([email protected] ) regarding the scientific aspects of the position. PROCEDURE Shortlisting will be applied. This means that, subsequent
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information on the PhD program, application procedure, and admission requirements. The application must include the following and be written in English or Danish. Applicants who are planning to complete a
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of the doctoral school for further information on the PhD programme, application procedure, and admission requirements. The application must include the following and be written in English or Danish Application
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August 2013(PhD Order). Application Please visit the website of the doctoral school for further information on the PhD programme, application procedure, and admission requirements. The application must
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the process of conducting and completing your PhD project, you will have access to a range of different PhD courses. Some will be of specific scientific relevance to your own project, while others will be of a
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concerning the application procedure contact Ms. Helle S. Thomsen, The Doctoral School at The Faculty of Engineering and Science, email: [email protected] For more information of The Doctoral School