30 postdoctoral-soil-structure-interaction PhD positions at NTNU Norwegian University of Science and Technology in Norway
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to promote human, animal and environmental health by furthering our understanding of host microbiota interactions? And are you intrigued by how soft materials can provide strong defenses? The Department
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parasite and warming in different combinations and sequences), and their interaction. Plant performance will be assessed by measuring life history traits and fitness and using hyperspectral imaging of both
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associated with the second cluster of the centre, that focuses on Hybrid Intelligence. The goal is to investigate how human-AI interaction and collaboration evolves in contemporary AI environments, including
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embodied intelligence. NCEI brings together leading robotics and AI groups with key partners from industry and the public sector to study how intelligence emerges from the interaction between body
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including the research statement Proficiency in both written and spoken English Scientific qualifications: A degree in Biology, Geology and Earth Science, Physics, Mathematics, Geography, Soil Science
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the partners of NorwAI , but also with PhD candidates and other postdoctoral fellows at the center and the department as a whole. Duties of the position Complete the doctoral education until obtaining a
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, alongside a floating turbine concept for deeper waters, to assess their behaviour, sensitivity to wave–current interactions and associated structural and performance challenges. Key research topics include
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regulations that provides both incentives and constraints for the maritime energy transition and emission reduction. The research objective of the PhD is to develop models that capture the interaction between
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will develop models to understand non-equilibrium transport of orbital angular momentum in superconducting hybrid structures. This is part of an effort to determine the merits of superconducting
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that support the human learning and improving the learning outcomes. The AI agent development will focus on semi-autonomous interaction using single-shot/mutli-turn interaction. This includes training the models