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feedback and supervision. Structured and solution-oriented, with the ability to manage various tasks and meet deadlines. Critical thinking skills. Flexibility regarding working hours is required
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arising from the inclusion of scrap, and to control the processing parameters such that the structural integrity of the cast components can meet with the demands to performance. The starting date is August
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learning Interest in sustainable construction and tall timber buildings The applicant's estimated academic and personal ability to complete the project within the time frame The applicant's ability
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structured Have strong communication and cooperation skills Remuneration and further information Salary in position as PhD Research Fellow, position code 1017, 550 800 NOK. For exceptionally well-qualified
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: Digital twin development for heritage risk preparedness AI-based predictive monitoring (humidity, flooding, structural stress) Integration of GIS/BIM, LiDAR and IoT telemetry Federated data architecture and
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moorings to examine short-time variability and eddy vertical structure in hydrography and currents. Using historical and new data, we will identify Topographic Rossby Wave modes, detect instability events
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and in a structured manner and demonstrate good collaborative skills. Training in either numerical model use and development, or in a quantitative approach to geosciences, is a requirement. Basic
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description The position is connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and
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while accounting for dependency structures and biological knowledge? 3. To what extent does the inclusion of multi-omics and patient-derived organoid data provide added predictive value over established
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. Good communication, collaboration and social skills. Ability to respond positively to professional feedback and supervision. Structured and solution-oriented, with the ability to manage various tasks and