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Warning System is the main objective of this position. The frequency domain machine learning applications will be developed by fusing the OptoDAS data that will be collected from the fibre optics cables and
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Research Infrastructure - the European distributed research infrastructure for brain and brain-inspired research (https://ebrains.eu ). The position is related to workflow development and pilot analyses
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pilot experiments addressing the functionality of CMNs. The main research tasks will include fieldwork, DNA laboratory work, bioinformatics, statistical analyses, and scientific writing. The candidate
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communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html
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equivalent to a Norwegian Masters degree in robotics, computer science, artificial intelligence, or other relevant fields. The applicant is required to document that the degree corresponds to the profile
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approximately 25 doctoral scholarships and some postdoc positions. More information can be found here: https://www.ntnu.edu/mai The appointment is carried out in accordance with the principles of the State
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. The objective of this PhD project is to develop AI methodologies for the analysis part of condition monitoring (CM) and predictive maintenance (PM). The primary challenge in predictive maintenance lies in
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selection criteria You must have a master's degree in a relevant subject area, and your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at the Master’s
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not be the exclusive focus. Alongside your individual research, the position will involve collaborating with the principal investigator to organize a conference and a journal special issue on
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environments nationally and internationally. The department has extensive teaching responsibilities, including a one-year program, a bachelor's and master's program, and a teacher-training program in sociology