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Chair of Biological Imaging 30.06.2026, Academic staff Join us in shaping the future of biomedical imaging We are looking for talented candidates who combine scientific excellence with a passion for
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colorectal tumors. Specifically, the work will focus on optimizing 3D X-ray virtual histology methods by phase-contrast micro-CT and corresponding image processing techniques also with view on combining it
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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, or a related STEM field. Experience with EHR data, machine learning or deep learning, natural language processing, medical imaging, or large language models (LLMs) is highly desirable. Familiarity with
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, which investigates how seasonal adaptation reshapes sensory processing and behaviour in the invasive fruit fly Drosophila suzukii. The project combines functional calcium imaging, behavioural experiments
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researches the new paradigm of photography embedded in contemporary mobile phone cameras and promoted as “AI-assisted” since 2024. It examines the extractive image processing involved in AI image making
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researches the new paradigm of photography embedded in contemporary mobile phone cameras and promoted as “AI-assisted” since 2024. It examines the extractive image processing involved in AI image making
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for immunological tolerance during autoimmunity and transplantation, directed at therapeutic intervention strategies. We are using autoimmune animal models to understand biological processes involved with autoimmune
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conducting experiments using immunohistochemistry, confocal imaging, whole-cell patch-clamp electrophysiology, and mouse tissue processing to investigate how neural circuits, synaptic physiology, and
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Research project description Minimally invasive surgery has revolutionized medicine by enabling interventions without large incisions, thereby significantly improving clinical outcomes