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understanding of acoustic backscatter communications as well as developing a prototype demonstrator in our communications/ultrasound laboratory. We expect results in both these dimensions to result in scientific
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spectrum of focuses that include genomics, proteomics, imaging, structural biology, pharmacological development, and bioinformatics. The site is led by a Director and operates as a synergistic hub
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is a major part of the working day. We are now looking for two lectures who will work with teaching and supervision of students in our education programs from the first sketch to the finished prototype
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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
based on multimodal data that have the potential to result in a paradigm shift from focus on “prevention with one size fits all” to “precision prevention”, the latter meaning specific preventive therapies
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fluorescence microscopy (from single-molecule imaging to intravital microscopy), electrophysiology, respirometry, microfluidics, organoid cultures, bioprinting, and excellent opportunities to work with various
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skin diseases. Applying advanced immunological and molecular techniques, such as multiparameter flow cytometry, cell sorting, in vitro differentiation assays, spatial transcriptomics, and in vivo imaging
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Spatial metaTranscriptomics methods and thus also handling of image data. The PhD student will interact with other team members to a large extent. For this purpose, we are looking for a PhD student with
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work will increasingly focus on wet lab experiments using cancer cell lines, organoids, and animal models, including imaging and molecular analysis. The project is well-suited for candidates with a
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these. Documented experience of biophotonics. Documented experience of laser remote sensing. Documented experience of hyperspectral imaging. Independence, responsibility and organizational skills. Social skills
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radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The group boasts extensive experience in fundamental research within computer vision, machine learning and