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energy use and minimizing environmental impact. This collaborative effort brings together expertise in materials science, physics, polymer chemistry, and composite mechanics, with a particular emphasis on
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the following qualifications: PhD in Physics, Chemistry or Materials Science, you must hold a doctoral degree awarded no more than three years prior to the application deadline. * Experience from first-principles
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of mathematical areas. The position will be placed at the Department of Computer Vision and Machine Learning (CVML) at the Mathematics Centre (https://maths.lu.se/). Mathematics Centre is a department
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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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, computational materials science, computer science, or a related field, awarded no more than three years prior to the application deadline*. Background in physics-based battery modelling and/or machine learning is
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Postdoctoral studies in single-cell and computational biology Do you want to contribute to top quality medical research? A postdoctoral position is available in the laboratory of Professor Francois
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found at https://www.maxiv.lu.se/accelerators-beamlines/beamlines/flexpes/ This position is associated with the UHV surface & material science branch of the beamline, and is focused on the own research
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within biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and
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Umeå University, Faculty Office of Medicine Together with The Laboratory for Molecular Infection Medicine Sweden (MIMS) and the SciLifeLab & Wallenberg National Program for Data-Driven Life Science