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22nd March 2026 Languages English English Norsk Nynorsk English Ten (10) open PhD Fellowships are available at the Faculty of Medicine Ten (10) PhD fellowships at the Faculty of Medicine Apply
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and Technology (NTNU) for general criteria for the position. Preferred selection criteria Documented competence within X-ray imaging, diffraction or electron microscopy, preferably transmission
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and Technology (NTNU) for general criteria for the position. Preferred selection criteria Documented competence within X-ray imaging, diffraction or electron microscopy, preferably transmission
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tunnels and field conditions Characterize root system architecture (RSA) using high-throughput, non-destructive phenotyping methods (e.g. X-ray CT, rhizotron imaging) to identify adaptive traits for drought
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the semantic foundation that enables AI systems to reason more coherently about ship designs, reducing ambiguity in the data available to machine‑learning systems, and supports explainability by grounding AI
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standard-grounded assurance principles into a coherent theoretical structure. The PhD candidate will conduct fundamental research on how monitoring information can be used to evaluate adaptive learning
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systems to reason more coherently about ship designs, reducing ambiguity in the data available to machine‑learning systems, and supports explainability by grounding AI outputs in a known structure. This
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coherent situational awareness and reasoning about possible robot-environment interactions under partial observability. The PhD candidate will be supervised by Professor Annette Stahl, with Professor Edmund
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education from other countries than Norway must enclose diplomas in both the original language and authorized translations) Publications and academic work (max 10 in PDF) and a list of these Your PhD thesis
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will be relevant for your project. Maximum number of participants varies from 10 to 15. The programme has four specialisations, based in each of the faculty’s four departments: Business Administration