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) micro-CT imaging of breast cancer combining cutting-edge imaging technology with clinical pathology to develop quantitative 3D imaging biomarkers that bridge high-resolution micro-CT and histology. Our
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The Department of Ecoscience at Aarhus University invites applications for two postdoctoral positions to strengthen our research on image recognition, computer vision and deep learning applied
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. • Quantitative analysis of aquaporin trafficking dynamics using advanced fluorescence microscopy and 3D image-based vesicle segmentation. • Molecular engineering of aquaporin constructs to dissect trafficking
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level, e.g. in medical physics, physics, biomedical engineering or computer science. It is mandatory that your PhD degree is on a topic relevant for this specific position, e.g. in medical image-based
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our close collaborators in psychology, physiology and neuro-imaging fields. The candidate The successful candidate must have a strong research profile in sensory and consumer science, more specifically
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Postdoc opportunity within single molecule fluorescence imaging funded by Villum fonden. We seek a postdoc candidate with experience in experimental biophysics to join the single molecule biophysics
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be used to prepare lamella samples for high resolution cryo-EM imaging and tomography. From AI assisted image analysis, 3D models for key proteins and biomolecular complexes will be fitted into 3D
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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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hybrid models that integrate limnological knowledge into machine learning models following the paradigm of Knowledge-Guided Machine Learning (KGML). The position is part of an on-going project
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welcome. Relevant research areas include, but are not restricted to: Plant-microbe interaction Genome editing and advanced crop genetics Synthetic Biology for pathway engineering Crop legume trait