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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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generation, and output coding. Datasets will be shared with the project team. The successful candidate will work with academic and stakeholder partners to generate model-ready UAV datasets and develop
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tools for improving the quality of entanglement between network nodes. Potential directions are improving techniques for entanglement distillation, potentially through a connection with error correction
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—that form the foundation of the modelling platform. In the second phase, the PhD student will collaborate with others in the grant team, working closely with the postdoctoral researcher, to translate
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methodology. o Monitor data collection progress, and seek innovative strategies to increase survey response rates. o Monitor, verify, and correct data quality errors during collection across all modes
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cookie and refresh page to watch video, or click here to open video) About the position As a PhD Candidate with us, you will help turn early railway fault detection into better maintenance decisions and
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any social protection scheme, they may ensure the exercise of the right to social security by joining the voluntary social security scheme, under the terms provided for in the Code of Contribution
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, technical and administrative personnel) and hosts around 35 PhD students and 15 postdoctoral researchers. PHELIQS conducts fundamental research in the fields of nanophysics and condensed matter physics
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mobility grants and a Mentoring programme for predoctoral and postdoctoral researchers. Stimulating, interdisciplinary research and high-quality international scientific environment. Induction programme to
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be developed, capable of operating in reactive, online settings where the data distribution may shift over time. Key challenges include detecting prediction failures, designing self-correcting update