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-technical problems. The project compares traditional and AI-integrated workshops to assess impacts on modelling accuracy, inclusivity, participant experience, and the accessibility of systems thinking for non
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Fraunhofer ISI in Karlsruhe is a globally recognized center of excellence in innovation research. The different focuses of our seven Competence Centers enable us to address key issues of innovation
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in underground facilities. The project aims to evaluate sensor technologies, design and optimize multi-sensor monitoring networks, and develop advanced detection and localization algorithms adapted
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hardware-aware and hardware–software co-design methods for edge intelligence. The goal is to develop new techniques that improve the efficiency, performance, and deployability of deep learning models
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systems. At NTNU, the research will investigate hardware-aware and hardware–software co-design methods for edge intelligence. The goal is to develop new techniques that improve the efficiency, performance
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25th April 2026 Languages English English English The Department of Marine Technology has a 3-year vacancy for a PhD Candidate in AI for marine systems design and operation Apply for this job See
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systems, LLM pipelines, and evaluation infrastructure Designing and running systematic evaluations of model performance, robustness, and reliability Building datasets, benchmarks, and pipelines for legal AI
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devote to design new hybrid porous materials (exemplified by activated carbon and CSH) with nanostructure templates and tailored surface wettability for the purpose of enhanced physisorption and
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candidate in AI for marine systems design and operation, connected to the newly established Norwegian Maritime AI Centre. The position aims to advance how artificial intelligence supports design and
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the NordForsk project ‘RISK-AI’ 230778. https://www.nordforsk.org/projects/responsible-innovation-and-social-kn… and is based at the Department of Computer Science in Trondheim. The candidate will work