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: Develop biohybrid living materials and devices based on photosynthetic organisms with responsive and evolving characteristics. Innovate methods for integrating photosynthetic components into material
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to contribute your own research ideas and take part in supervising PhD students. About the research project The position, starting in the first half of 2026, will be based in the theory division of the Department
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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meritorious if you have experience in: usability studies, user experience design. adaptability and personalization based on user models. Employment details The position is a temporary employment, for two years
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based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
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polymers (POPs). Synthesis of POMs using sustainable monomers, fabrication of freestanding nanocomposites based on POMs and nanocellulose through nanoengineering techniques, and structural characterization
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facility belonging to SciLifeLab, part of a national infrastructure for research in life science. The creative and research-intense environment contributes to a broad knowledge-base as well as cutting-edge
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collaboration with six partners in Austria, Germany, and Sweden, aiming to develop advanced zinc-based batteries for stationary energy storage. The project focuses on creating efficient and reliable energy
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. We shape the future through innovative education and ground-breaking research results, and based on the Arctic region, we create global social benefit. Our scientific and artistic research and
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web-based, interactive visualizations. Eligibility Requirements Eligible to be employed are those who have completed a doctoral degree in Computer Science or an equivalent degree. The doctorate shall