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and decision support for railway operations and maintenance. The successful candidate will work on developing, testing, modelling, and validating methods for DAS-based monitoring of railway
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and challenging to operate using conventional voltage regulation methods. To address growing voltage variability and the limitations of traditional controllers, this PhD project proposes the development
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The position will be attached to the project “SURE-AI” (http://www.sure-ai.no/ ) funded by The Research Council of Norway, and lead by Simula Research Laboratory. The main focus of the research will be
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software PyOPIA (https://github.com/SINTEF/pyopia ) Contribute to the establishment of a stereo camera system for wave measurements at the OceanLab site in the Trondheim fjord Take part in wave flume
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or physics or related fields Documented practical wet lab experience and basic skills in organic chemistry Documented basic knowledge and some practical experience in programming and numerical methods. Foreign
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addresses the development of trustworthy statistical and machine learning methods for anomaly detection in such streaming data (time series), potentially extended to spatio‑temporal settings. The emphasis is
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concerns, and inherited weaknesses from legacy authentication methods. This research fellowship will investigate contemporary identity and access solutions and develop methods to evaluate their security
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page to watch video, or click here to open video) About the position The position is part of the research project “Prediction of genetic values and adaptive potential in the wild (GPWILD)” (https
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characteristics Drive to learn new methods and applications Curiosity and creativity in finding problem-related solutions Present and discuss your research with other professionals Engage and contribute
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Health, Opportunities, and Poverty Eradication: India’s Democracy-Healthcare Paradox and Global Impact (HOPE), funded by the Research Council of Norway. For more information about the project, see: https