8 modal-analysis-artificial-intelligence PhD positions at NTNU Norwegian University of Science and Technology in Norway
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of Offshore Wind Turbines using Contactless Sensors and Operational Modal Analysis”. The main aim of this project is to develop a condition monitoring system with contactless sensors for critical drivetrain
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to contribute to foundational research at the intersection of control theory, optimization, and artificial intelligence, with potential applications in energy systems, and infrastructure networks. The successful
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machine learning, e.g. predicting rate of penetration (ROP) and wear. Investigate the possibilities in automation and robotization and the use of artificial intelligence. Electric drilling and other methods
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to your work duties after employment. Required selection criteria You must have a relevant Master's degree in Computer Science, Artificial Intelligence, Data Sciecnce (with a focus on machine learning
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relevant topics as the research topic rests heavily on quantitative analysis, design of algorithms, and proofs of algorithm properties. Importantly, the successful candidate has a strong interest in
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, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics and programming (e.g. R or Python) is required Experience with data analysis related to terrestrial ecology
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analysis. Good communications skills. Good written and oral English language skills. Personal characteristics Motivated, goal-oriented and well-organized. A strong interest in DNA biology, especially genome
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systems (RAS). You will be part of the Analysis and Control of Microbial Systems group (ACMS ), that is now integrated into the Microbial Biotechnology research group. We are passionate about conducting