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individualized diagnosis and prognosis. As part of the ENSEMBLE Project—a multinational study funded by the Fondation Paralysie Cérébrale—you will help develop a machine learning-based multimodal prediction tool
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proactive and self-motivated PhD candidate to join our NWO-funded Coast-Water-Solutions project team (4 years, full-time, fully funded) based at the Hydrology and Environmental Hydraulics Group (HWM
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project you will contribute to developing a more inclusive and comprehensive account of dignity in the context of migration and help formulating concrete normative demands for migration with dignity
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electrochemical performance. Detailed characterizations will help identify the key indicators of good cyclability. The state of the art in recycling Li-ion materials will provide a basis for considering the
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of these cutting-edge research projects and in the societal transformation that they entail. We offer a broad range of courses and study programmes to match the skills in demand. We hope that you will help us to
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help design strategies that are both evidence-based and publicly accessible, bridging the gap between complex scientific knowledge and societal decision-making. Key aspects include: Applying AI-based
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under multiple environmental and socio-economic scenarios. You’ll develop sought-after skills in geospatial analysis, hydrodynamics, sediment transport, machine learning-assisted detection, and hydro
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receive assistance from student assistants in data collection and/or data processing and develop your academic teaching skills (during your project). The project will be carried out at the Institute
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will provide fundamental insights that help optimize chemical recycling processes, bringing Europe one step closer to a truly circular plastics economy. This PhD project is part of a national research
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, Climate physics, Oceanography or other appropriate fields. Your job You will work on the project called “Eemian sea level”. In this 4-year fully funded position, you will combine 2 toolsets: generating