12 genetic-algorithm-computer "Integreat Norwegian Centre for Knowledge driven Machine Learning" Postdoctoral positions at University of Lund in Sweden
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-of-the-art semantic and instance segmentation algorithms for 3D and 4D microtomography data. The project has a particular focus towards analysing fibre-based materials but will also consider other material
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environment project, we will develop automated species and community recognition, particularly focusing on pathogenic soil fungi, with help of deep-learning algorithms fed with microscopic image and Raman
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-of-the-art computational resources, enabling advanced simulations and modeling. Moreover, we actively collaborate with leading experts in laser diagnostics, automatic control, heat transfer, and life cycle
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aims to address scientific and sectoral gaps in biological imaging from molecular, cellular, and tissue levels to organ and organism levels of organisation. The programme is coordinated by LINXS, Lund
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the duties. The overarching goal of this research program is to uncover fundamental molecular principles governing membrane protein function, particularly how interactions with subunits, auxiliary proteins
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be a postdoc fellow at the AMBER programme you will get unprecedented medical
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postdoc fellow at the AMBER programme you will get unprecedented biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and researchers. When
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computational simulation techniques are used. The research is applied to understand orthopaedic problems and to develop better methods to improve tissues regeneration. The group encompasses about 15 scientists
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a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and