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application date. Documented pedagogical experience. Experience in image analysis and/or computer vision, especially in the context of medical imaging Development, implementation and validation of AI tools and
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and expertise in brain imaging (MRI), image processing and machine learning. Coordinating projects within the research group, supervising students and writing applications are also included in the role
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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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position within a Research Infrastructure? No Offer Description The Division of Synchrotron Radiation Research (http://www.sljus.lu.se ) is a part of the Department of Physics and has more than 50 employees
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diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure-from-motion, and object recognition
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part of SciLifeLab BioImage Informatics Facility (BIIF) as described below. The Vi3-Division gathers a unique combination of expertise in computerized image processing, human computer interaction, and
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focus, with therapeutic strategies to be validated in patient material to ensure clinical relevance. For examples of how the research is conducted, see: https://www.tcr.lu.se/research-groups/immuno
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of pollen morphology in response to evolutionary transitions between wind- and insect-pollination modes. You will collect, prepare, image, and post-process pollen samples from herbarium collections worldwide
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Facilities, Sahlgrenska Akademin in Gothenburg, Sweden. Selection process For more information regarding the selection process go to: https://www.gu.se/om-universitetet/jobba-hos-oss/hjalp-for-sokande#S%C3%A5
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work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. As a postdoc fellow in the AMBER programme you