12 postdoctoral-image-processing-in-computer-science Postdoctoral positions in Sweden
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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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; significant practical experience in 3D image analysis or computer vision; knowledge and experience in scientific programming (python (preferred), Matlab or other relevant language) with application to image
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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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results published in top-tier journals. Duties The department of Computer Science, Electrical and Space Engineering at Luleå University of Technology (LTU) is offering a Postdoctoral Fellow position to
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on understanding the link between mechanics and biology in the musculoskeletal system, including related pathologies and repair of skeletal tissues. Experimental tissue characterisation methods, imaging and
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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. To be a postdoc fellow at the AMBER programme you
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combining imaging 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
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in the area began in the mid-1980s and currently includes (i) Geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) Medical image analysis, and (iii) Machine
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A Postdoctoral Scholarship is available in the laboratory of Prof. Lena Gunhaga at Medical and Translational Biology , Umeå University, Sweden. We are seeking a highly motivated applicant for a
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to formalize a biological question into a computational model. Merits: Computational genomics, medical statistics, computational biology and/or imaging analysis. Experience with NGS (10x platform, Smart-Seq