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Field
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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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scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
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on JavaScript in your browser and try again. UiO/Anders Lien 4th August 2025 Languages English English English Faculty of Social Sciences, The Department of Psychology, LCBC Postdoctoral fellowship LCBC Apply
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imaging and optimization methods, ideally with demonstrated experience in deep learning in medical image analysis (image segmentation/registration/synthesis), medical image reconstruction, computer-aided
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a full-time Postdoctoral Research Fellow to collaborate with various researchers, clinicians and imaging experts from UBC, the BC Cancer Research Institute, and our international institutional and
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for foreign researchers who place their qualifications in Sweden. Duties and profile This postdoctoral project is focused on applied AI-based computer vision and precision cancer medicine research centered
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discipline such as Earth observation, data science or computer science Knowledge, Skills & Experience Sufficient breadth or depth of specialist knowledge, in the application of Earth observation
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genetics, genomics, imaging processes, computational biology and biochemistry. Our goal is the deep and detailed understanding of fundamental mechanisms in plant biology that may then also be used to develop
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as