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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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grant applications is an important element. The work includes continuous development of doctoral education and conditions for postdoctoral qualifications, with a strong engagement as a supervisor for
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education and supervision at first-, second- and third cycle and/or postdoctoral level. It is further demonstrated through experience in summative assessment and teaching development, including contributions
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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
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from a postdoctoral visit in a research environment other than the university at which the applicant defended their doctoral thesis. In application-oriented areas, experience from research and
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methods that use light to explore biological systems and processes at the molecular, cellular, and tissue levels. It includes experimental light microscopy and image analysis, such as super-resolution and
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level • supervise doctoral students and postdoctors • lead, develop and participate in teaching and supervision of students at all levels • collaborate with researchers within the department, the faculty