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automated coding) and qualitative approaches (e.g., focus group interviews) to explore adolescents’ real-time interactions with gender narratives in their digital world. The project will be conducted
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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to them. For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis. The appointment is carried out in
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at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them. For the necessary professional and social interaction, it is a prerequisite that you
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employee at NTNU, it is important that you keep yourself up to date with academic and organizational changes and adapt to them. For the necessary professional and social interaction, it is a prerequisite
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. The candidate will investigate how agentic AI can autonomously interact with such data and relevant engineering tools to identify abnormal behaviour, reason about possible faults, assess equipment condition, and
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, trustworthiness, and human-AI interaction, with a focus on high-stakes settings. Publishing at top venues in AI and responsible AI research (NeurIPS, ICML, ICLR, ACL, FAccT, EAAMO, AIES, CHI, etc.). Designing
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microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics of microorganisms in fluids. Living systems such as bacteria or algae exhibit remarkable
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We are seeking a motivated and creative PhD student to develop the next generation of AI-driven protein design methods that explicitly account for protein–lipid and protein–membrane interactions
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gel electrolytes. Investigation of ion–polymer interactions, ionic transport, and thermoelectric properties. Selection and electrochemical characterization of redox-active materials for thermal energy