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developmental biology and physiology using imaging, image analysis, lineage tracing, and water stress experiments. Work includes greenhouse tree studies and Arabidopsis experiments in climate-controlled chambers
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PhD position (3 years) Participation in an international research collaboration Access to cutting-edge technologies, including spatial transcriptomics and advanced imaging A dynamic and collaborative
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multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing
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, clinical, and engineering-oriented questions, including experimental, computational, and translational approaches. List of open projects: AI, Imaging & Biomedical Engineering AI models using imaging and
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imaging, image analysis, lineage tracing, and water stress experiments. Work includes greenhouse tree studies and Arabidopsis experiments in climate-controlled chambers, aiming for an integrated
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emphasis on techniques used for optical imaging of the human retina. It centers on two-photon fluorescence ophthalmoscopy employing femtosecond laser sources. This technique offers new opportunities
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: (1) automated reconstruction of a visual and geometrical 4D Digital Twin based on visual computing; (2) usage of information from digital imaging techniques for estimation and prediction of current and
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otoacoustic emissions) will be recorded before and after exposure, and the cochlea will be examined with super-resolution imaging techniques that can visualise structures as small as 50 nm. This will reveal
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Chair of Biological Imaging 02.02.2026, Academic staff We now seek a highly qualified and motivated PhD student (f/m/x) to drive the advancement and application of a novel multimodal microscope. The
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of face, animacy, and object representations more generally. We collect and analyse human behavioural and brain imaging (fMRI and M/EEG) data. We also analyse macaque electrophysiology data obtained through