754 master-"https:" "https:" "https:" "https:" "Robert Gordon University" positions in Norway
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texts. Language requirement: Good oral and written communication skills in English English requirements for applicants from outside of EU/ EEA countries and exemptions from the requirements: https
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Teaching courses related to networking Be prepared for changes to your work duties after employment. Required selection criteria You must have a relevant Master's degree in Cyber Security and Communication
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the Telemark Canal , focusing on digital twin-based preparedness modelling for cultural heritage infrastructure. The primary objective of the position is to complete a doctoral education leading to a PhD degree
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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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requirement: Good oral and written 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
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exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
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out the project over the full course of the employment period. No person may hold more than one fixed term position as a Postdoctoral Research Fellow at the same institution. The main objective
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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#toc8 Grade requirements: The norm is as
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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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. 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