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contribute to the development of next-generation modelling frameworks that combine physics-based hydrodynamic modelling with artificial intelligence (AI) and data-driven methods to better predict contaminant
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challenges, such as technological development requiring rare minerals, and mitigation and adaptation to climate change. Knowledge is needed of these processes of landscape change, their driving forces and
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The PhD programme in Innovation for Sustainability is interdisciplinary, applied and project oriented. It is suited for research and development work within private and public sectors as
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for this job See advertisement Do you want to contribute to the development of knowledge, insight and solutions that are relevant to society and working life today and in the future? We are looking for a PhD
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development and evidence-to-practice initiatives. The fellow will work within an international network of leading researchers, clinicians, journals, and policy organisations and will have opportunities for high
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be among Europe's leading universities, internationally recognized for high quality in research and education. As a societal institution, we shall contribute to sustainable and democratic development
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to theoretical development and empirical knowledge both at TIK and in the greater community of innovation scholars. Much of the ongoing work in the innovation group is based on externally funded projects
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model supported by the Team, and from those outcomes, run dynamical evolution models (N-body) to investigate the occurrences of subsequent collisions, using a surrogate model for giant impacts trained