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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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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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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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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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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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contacts with other disciplines nearby and interacts with biomedicine, pharmacy, physics and materials science. Scientists with expertise in biophysical methods of interaction analysis are responsible for a
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to increase catalyst activity and selectivity. The computational part of the project will investigate relevant reaction paths and evaluate spectroscopic signatures that can be compared to a parallel
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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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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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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