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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a researcher (m/f/x) ready to try new techniques and approaches and explore and tweak them until they work. The lab
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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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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine
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domain shift, e.g. multi-modal data acquired by different scanners and imaging protocols. Publish and present scientific results at international conferences and high-impact journals. Close collaboration
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Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models, adversarial attacks, and
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for on-board, runtime engine fault detection, with experimental validation on the ASCENT bi-liquid propulsion system. Our partner Orbital Paradigm contributes online trajectory reconfiguration upon fault
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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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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 development of a novel quantum enhanced microscope. The Institute
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Chair of Biological Imaging 02.02.2026, Academic staff We are looking for a candidate (m/f/x) who will use the combination of our spectroscopy infrastructure, and structural information
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• Integration of physiological and biochemical data with advanced phenotyping approaches (e.g. ther-mal imaging) • Statistical analysis and interpretation of multi-factorial datasets • Active collaboration with