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A crucial image processing task is image segmentation: we often seek to identify the presence and location of key features in an image, for example a tumour in a medical scan. But in practice, we do
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information. The techniques include image registration, segmentation, and regression/classification, often include deep learning-base implementations. Together with experts in epidemiology, genetic, and multi
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of the fusion of disciplines; Division of Transdisciplinary Sciences and Division of Nano Life Science. ＃Division of Transdisciplinary Sciences The Division of Transdisciplinary Sciences aims to create new
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of Information Technology website . The project will be led by Professor Carolina Wählby , within the Image Analysis unit of the department’s Vi3 division, working alongside researchers developing numerical and
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Finite Element Model of the Larva Body: Utilise existing Drosophila larva CT-scan data to segment components such as the cuticle, muscles, and mouth hook. Implement finite element simulations within
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/Team: Division of Informatics, Imaging & Data Science Hours Per Week: 35 hours per week Closing date (DD/MM/YYYY): 11/04/2025 Contract Duration: Fixed term for 9 months School/Directorate: School
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that is placed at the Computing Science Division in the Department of Computer Science with Chalmers University of Technology as the employer. Our division provides world-leading research and education in
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-inspired data and image analysis, often in close collaboration with experimental partners, to identify physical principles behind biological dynamics and self-organization. The project: Voluntary motion in
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-driven simulation with physics-inspired data and image analysis, often in close collaboration with experimental partners, to identify physical principles behind biological dynamics and self-organization
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and extracted by the fibres, removing the need for manual segmentation to create high-resolution imaging detectors. There are many applications in particle physics and beyond. Further information can be