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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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for the position: PhD in a biomedical field or in image analysis. Extensive experience in confocal microscopy, live-cell microscopy, and analysis of live-cell microscopy data. Additional qualifications
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engineering, antenna systems, signal processing, image analysis, automatic control, automation, mechatronics, and communication systems. With a dynamic and international environment of around 250 employees from
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biological basis, through technological processes and mathematical support. Your profile We are looking for a candidate with proficiency and documented research experience particularly in immunology and/or
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biological basis, through technological processes and mathematical support. Your profile We are looking for a candidate with proficiency and documented research experience particularly in immunology and/or
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contain the following documents in English or Swedish: PhD certificate A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current
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fellow with the following requirements: A PhD in immunology, molecular biology, or a related field (degree must be completed before the start of the position). Strong theoretical knowledge and hands
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cardiovascular care and to translate novel imaging innovations directly into clinical practice. Your profile We are looking for a highly motivated, creative, and independent researcher with a PhD in MR physics
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: PhD certificate A complete resumé, including date of the thesis defence, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work A
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visualization groups (iVis, https://ivis.itn.liu.se/ ) and will be collaborating closely with the computer graphics and image processing group and researchers from the Department of Thematic Studies. The iVis