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is a sustainable future through materials science. Read more: https://wise-materials.org All early-stage researchers recruited into the WISE program will be a part of the WISE Research School
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to develop solutions with real world relevance and impact. This project will be carried out in close collaboration with researchers from the Division of Material and Computational Mechanics at IMS and the
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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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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
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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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insect material from the Insect Biome Atlas (https://www.insectbiomeatlas.org/ ) and Lifeplan (https://www.helsinki.fi/en/projects/lifeplan ) projects. The material consists of around 50,000 Malaise trap
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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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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
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and graduate level at the department. Read more at https://www.physics.uu.se . About the project We are engaged in the field of computational materials science, with a focus on magnetic materials