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Chair of Biological Imaging 30.01.2026, Academic staff Researcher (m/f/x) with an engineering or physics background and a motivation to drive the technology towards the market. The lab The Stiel Lab
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to molecular indicators alone. We have now at our disposal a novel nanometer resolution 3D correlative imaging pipeline that combines light and X-rays and allows us to utilise the cellular landscape as a useful
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Your Job: The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning
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Machine Learning for Image Classification. Eligibility You must: We would like you to have: sound knowledge of machine learning, computer vision and image processing strong programming skills. How to apply
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analysing protocols that exploit quantum-optical channels-such as those encountered in coherent and incoherent spectroscopy To be successful in this position, you'll have / you'll have as a minimum: Evidence
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optical fields. The successful candidate will work on designing and analysing protocols that exploit quantum-optical channels-such as those encountered in coherent and incoherent spectroscopy To be
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on designing and analysing protocols that exploit quantum-optical channels—such as those encountered in coherent and incoherent spectroscopy To be successful in this position, you’ll have / you’ll have as a
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a set confidence level, typically 90% probability of detection. This project aims to take a radically different approach and integrate the array images with structural integrity assessment to predict
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optical fields. The successful candidate will work on designing and analysing protocols that exploit quantum-optical channels-such as those encountered in coherent and incoherent spectroscopy To be