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imaging. This position offers the opportunity to develop cutting-edge platforms for real-time monitoring of human tissue metabolism in physiologically relevant models. You will play a key role in our
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-supervise MSc/PhD students and contribute to the dissemination of results through publications and conferences Qualifications As a formal qualification, you must hold a PhD degree (or equivalent) in
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, our clinical partner at Aarhus University Hospital and Ana Namburete, an ultrasound image processing expert at the University of Oxford. The project will make use of the CFIN’s new 96-sensor QuSpin
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combining CRISPR-based endogenous protein tagging, advanced quantitative imaging, and biochemical approaches, this project seeks to uncover novel principles of replisome plasticity. A key long-term objective
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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A full-time position as research assistant or postdoc (37 hours/week) is vacant across the Center for Integrated Multi-omics in Precision Medicine (CIMP) and the Danish Spatial Imaging Consortium
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Neilson from Yale Uni., Mikkel Gandil from Rockwool Foundation and Hessel Oosterbeek from Uni. of Amsterdam as well as Christian Fogel Henneberg who is a PhD student on the project. Introduction As part of
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Imaging Consortium (DanSIC) within Molecular Bone histology (MBH) lab at the Research Unit of Pathology , the Department of Clinical Research , Faculty of Health Sciences , University of Southern Denmark
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: Programming skills (Python, and/or C# or similar programming language). Knowledge of some of the following fields: medical image data, database structure, image processing, creation of user-friendly WEB pages