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20 Sep 2026 Job Information Organisation/Company Aalborg Universitet Department The Faculty of Medicine, Department of Health Science and Technology, Medical Informatics and Image Analysis Research
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deep learning, computer vision, medical image analysis or unsupervised learning is an advantage. English language skills, both written and spoken Qualification requirements PhD stipends are allocated
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1.1.2027 or as soon as possible. Job description You will be contributing to/establishing/developing an in-situ imaging system for NH3. You will be further developing optical NH3 sensors in the laboratory
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research-based teaching of the highest quality and is responsible for a large part of the medical degree program. Academic staff contribute to the teaching. English is the preferred language in
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Connections (INTER). You can read more about the department at https://comm.ku.dk/ and about the section at https://comm.ku.dk/research/information-technology-and-connections/ Introduction to the PhD programme
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of single-particle tracking and live-cell imaging data obtained by our experimental collaborators in Paris, Copenhagen and Taipei. Several distinct projects are available, and applicants are encouraged
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, membranes, neuroscience and personalised medicine. The Department of Biomedicine provides research-based teaching of the highest quality and is responsible for a large part of the medical degree programme
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bearingless pumps. Depending on the outcomes of the modelling work, a prototype may be built and tested at Danfoss under realistic operating conditions. You must have a strong background in mechanical
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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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) programme in Artificial Intelligence Engineering. You will be responsible for teaching courses in topics such as machine learning, deep learning, MLOps, image processing, and computer vision, and you will