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combining Transformers [5] with Neural ODEs, resulting in an end-to-end modelling framework. Transformers are particularly effective at capturing complex long-range spatiotemporal dependencies within
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- looking. Sensor technology plays a key role in this transformation, enabling real-time monitoring, automation, and intelligent decision-making. Despite these needs, many water treatment processes still rely
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-based value chains through systems biology, metabolic engineering, and fermentation technology, contributing to the transformation towards a circular bioeconomy. In the field of health biotechnology, we
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to understand, predict, and treat diseases. You will work with multimodal biomedical datasets including omics, imaging, and patient data and apply cutting-edge AI models such as graph neural networks, transformer
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1 September 2025) Background The Department ‘Anthropology of Politics and Governance’ is looking for a doctoral student who will conduct an ethnographic study on digital transformations in health and
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Stress Symptoms’, which is funded within the call ‘Digital Transformation and Robotics in Sustainable Agriculture between Europe and Japan’ as part of the European Interest Group CONCERT-Japan. The sub
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transformation." The project will investigate the relationship between road safety and safety culture. A theory-based model of road safety culture will be developed and validated through surveys in various