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processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life
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application! Your work assignments Spatio-temporal processes are everywhere in science and engineering, with applications ranging from weather prediction to cardiovascular medicine. Developing machine learning
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of Organic Electronics (LOE), we develop new chemical strategies to transform wood and wood-derived molecules and polymers into functional, high-performance, and circular materials. We are now looking for a
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the Green Polymer Chemistry (GreenPolChem) group comprised of 10 researchers, located in the Pronova Chemistry Lab at the Laboratory of Organic Electronics (LOE), we develop new chemical strategies
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. You will develop dynamic models and apply them, for example, to analyze sociotechnological networks and to model interactions between humans and AI agents (such as LLM-based chatbots and autonomous
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Do you want to contribute to developing groundbreaking methods for measuring greenhouse gas emissions and biodiversity at the farm level? We seek a PhD student who wants to work with drone- and
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, and research literature in a structured and reflective manner. In addition, you should have well-developed problem-solving skills and be able to analyze complex research questions, identify relevant
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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simulation of time dependent non-linear PDEs has emerged as a key technology. A main task of this employment is the development and analysis of numerical methods for wave propagation problems. Particular focus
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We are seeking a PhD candidate to join our team in the development of next-generation bioelectronic platforms to study implant interfaces and modulation of the brain tissue microenvironment