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to the Wallenberg Initiative Materials Science for Sustainability (WISE, wise-materials.org). WISE, funded by the Knut and Alice Wallenberg Foundation, is the largest-ever investment in materials science in Sweden
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Exciting postdoc opportunity in integrating photosynthetic living organisms in materials and devices! Work assignments Are you passionate about developing the next generation sustainable
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for materials science, and advanced optimizers for modern deep learning. The research may be conducted in collaboration with the Electronic and Photonic Materials and/or the Computer Vision Laboratory
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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doctoral degree in Computer Science, with additional documented education in Materials Science at graduate or undergraduate level, that is also qualifying for the position. The applicant must have extensive
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of organic semiconductor materials. Work assignments This project, funded by the Wallenberg Academy Fellows programme https://kaw.wallenberg.org/en/research/creating-greener-semiconductors , aims to provide a
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Deadline 18 Mar 2025 - 22:00 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 853--1-26267 Is
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11 Mar 2025 Job Information Organisation/Company Linköping University Research Field Physics » Applied physics Engineering » Materials engineering Researcher Profile Recognised Researcher (R2
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22 Feb 2025 Job Information Organisation/Company Linköping University Research Field Physics » Applied physics Chemistry » Physical chemistry Engineering » Materials engineering Researcher Profile
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of Machine Learning and Computational Chemistry. This recruitment is linked to the Wallenberg AI, Autonomous Systems and Software Program (WASP) and Wallenberg Initiative Materials Science for Sustainability