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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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international and development economics. The doctoral programme is an important element in the department’s research excellence strategy and in BI’s vision to become one of the leading research business schools
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, product quality and development, and productivity. The Department of Mechanical and Industrial Engineering is one of eight departments in the Faculty of Engineering. Where to apply Website https
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critical gaps in cybersecurity by developing a novel framework for human-AI collaboration in Security Operations Centers (SOCs) protecting critical infrastructures. Rather than relying on AI systems alone
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leader is the supervising Professor, and your Line Manager is Head of Department. Duties of the position To develop methodology for risk assessment and modeling providing early warnings on the risk level
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accordance with NTNUs guidelines for recruitment positions and Regulations for the degrees philosophiae doctor (ph.d.) in artistic development work at the Norwegian University of Science and Technology (NTNU
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to the development of improved immunotherapy approaches for myeloma. A deeper understanding of differences between patients with good and poor responses may support greater precision and individualized treatment
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find more information about the research group here: https://www.med.uio.no/klinmed/forskning/grupper/kardiovaskular-crg/ The PhD candidate will be funded by the K. G. Jebsen Centre for Cardiac
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lifecycle. This is a 3-years position linked to the D-CRISP project . The candidate is to research, develop and demonstrate a methodology for building and integrating digital twins along product lifecycles
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Europe's leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development and be