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analysis and biomedical data analysis, with demonstrated experience in organ segmentation from medical images, using both traditional and machine learning–based methods, and creation of large segmentation
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of the model will largely be built on existing datasets from large scale wave flumes. These datasets will not involve actual swash zone processes, but rather measurements of coastal profile development from
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plant growth. We are particularly interested in deciphering the role of the large intrinsically disordered loops using structural and biophysical approaches. The project may involve a combination of
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planning, conducting, and publishing epidemiological studies using large-scale observational data, primarily register-based, focusing on women’s short- and long-term health outcomes within the specific work
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section,which focuses on designing, developing, and applying interactive computing technologies. More information can be found on our website: https://www.cs.aau.dk/research/hcc-human-centered-computing