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- NTNU Norwegian University of Science and Technology
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statistical analysis plans for the three papers to be included in the doctoral thesis, in collaboration with the research team Perform data processing and statistical analyses for the three studies, supervised
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the ability to conduct critical analysis and draw well‑reasoned conclusions. Documented ability to work purposefully and independently, take responsibility, and drive processes forward. Ability to collaborate
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the sense-plan-act loop. Development of testing agents that support autonomous scenario generation, test execution, behavioral analysis (reasoning), and systematic collection of safety evidence with
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solid background in data and/or statistical analysis. You should have the willingness to design and build equipment and scientific instruments. You should possess good written and oral English language
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exposure Experience from full scale production in the civil engineering industry Experience with mechanical testing and data analysis of materials Interest in conducting field experiments Personal
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multidisciplinary and teacher education and professionalism is explored by multiple methodologies and by comparative analysis. The target group of the PhD programme in Educational Sciences is dedicated individuals
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advantageous: Immunohistochemical/immunofluorescence techniques, as well as cell culturing techniques Molecular biology techniques and digital image analysis Analysis of high-throughput datasets (RNA seq
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exposure Experience from full scale production in the civil engineering industry Experience with mechanical testing and data analysis of materials Interest in conducting field experiments Personal
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support, while integrating simulator data and multimodal inputs to provide timely guidance, feedback, and post-training analysis. This PhD project aims to develop human-centered interactive AI agents
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for knowledge acquisition, natural language interaction, and decision support, while integrating simulator data and multimodal inputs to provide timely guidance, feedback, and post-training analysis. This PhD