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observational data. Together with international collaborators the Inverse Modelling group develops and applies inverse modelling / data assimilation systems that employ a range of observations to constrain
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. Your work assignments The overall aim of the project is to investigate how firms can leverage specialised AI models to develop innovative offerings, business models, and ecosystem collaborations. While
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function and how small molecules can modulate their activity, ultimately contributing to the development of new therapeutic strategies. In this role, you will work on a project that combines experimental
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How fast can energy technologies grow and what can policy realistically do to accelerate them? Join the Energy Technology and Policy group as a doctoral student and develop the data-driven methods
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and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en/wiforce ) , was created. The PhD student will be employed
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is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en/wiforce
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fuels and chemicals using renewable hydrogen. The Doctoral student will develop and test advanced catalysts under realistic conditions and integrate findings with process modelling. The work will help
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doctoral candidate at Luleå University of Technology, you will have strong opportunities to develop subject-matter expertise and build robust interdisciplinary competence. At the same time, you will be able
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design and development of organic and bio-based materials with tailored functionalities for energy transport, conversion, and storage, with a strong emphasis on sustainability and environmentally benign
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Foundation (SSF) to bring together leading researchers in AI and cybersecurity to develop novel solutions to cyber resilient AI for the benefit of Swedish industry and society. The vision is to make Sweden a