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auditory processing. Relate representations learned by AI models to behavioural and brain data using multivariate and representational modelling approaches. Contribute to the design and execution
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orientation with compositional design, the project will investigate how directional control over framework domains influences charge transport, optical response, and catalytic performance. Applications include
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the cell response. A key innovation in this PhD project is to engineer environmentally (cell)-instructive hydrogels with controlled architecture (pore size, network interconnectivity) and mechanical
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manipulated visual content. Study representations learned by large pretrained visual or multimodal encoders, including probing, adaptation, fusion, and efficient fine-tuning strategies. Design explanation
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Laboratory (HRE Lab) at NTNU, together with its hardware analysis and reverse-engineering capabilities. The candidate will design and conduct controlled experiments to investigate vulnerability mechanisms
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this PhD will address. This project will develop a direct ammonia solid oxide fuel cell (SOFC) technology for efficient and carbon-free heat and/or power generation. By using a novel catalyst design strategy
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transferable skills that prepare you for careers in academia, industry and the public sector. Towards the end of your PhD, you will be offered dedicated career development support to help you plan your next
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. However, it is an open question how these technologies should be designed and tailored to the highly diverse, dynamic, and individualized needs of people with disabilities. In this PhD project, you will
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). Working in the Faculty of Health and in partnership with Carl Zeiss AG and the ZEISS Innovation Hub, the successful candidate will gain interdisciplinary training spanning clinical vision science
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Help design the next generation of inclusive interactions between automated vehicles and vulnerable road users using Virtual Reality and eXtended Reality. Job description Automated Vehicles (AVs