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Field
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-resolution microscopy Genome editing (e.g., CRISPR-based approaches) Quantitative and live-cell imaging Functional genomics The project is embedded in an interdisciplinary research environment combining
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the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see easynmr.pastis.dk ). Current application areas
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data without compromising individual privacy. Using unique, nationwide Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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, exciting, and centrally located European city, Aalborg, Denmark. Danish health insurance. Travel funds for you to present your work at scientific conferences. Computer and other practical office necessities
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field of health science within the scope of the Faculty’s research areas. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management
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field of health science within the scope of the Faculty’s research areas. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management
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serve as the foundation of the Scandinavian Crystallography Service (SCS), a one-stop shop for mail-in and remote-access crystallography. The SCS will serve a broad user community, including academic
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction