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assays, (iii) development of strategies to mechanically couple molecular motors, (iv) dynamic acquisition of motor-driven movement by high-resolution fluorescence microscopy and/or magnetic/optical
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
the humanities and social sciences. In doing so it also offers fresh frameworks of thinking for the humanities and social sciences, and works to develop the modern, integrated, and broadly interdisciplinary
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on application-driven mathematical research relevant to our society. Its three main goals are to train highly skilled young mathematicians across the entire breadth of mathematics, to develop innovative
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motivated research associate (m/f/d) for our research project focused on developing secure communication systems for AI-driven applications. The objective is to investigate, design, and experimentally
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security throughout the entire life cycle of software-driven systems. We support industry and public authorities in risk modeling, the creation and testing of secure software/system architectures
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ATHENE is a joint institution of the Fraunhofer Society with the participation of Fraunhofer SIT, Fraunhofer IGD, TU Darmstadt, and Darmstadt University of Applied Sciences. In a unique cooperation model
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cooperation with the research centre UFZ, Leipzig University, and TU Dresden. Application period: 29 June to 26 July. IDEAS develops and applies data-driven methods to urgent challenges in environmental and
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, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our innovations in tissue clearing, 3D
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conducted in a joint project with industry and TUM IWB to develop decision support for future design designs for fixed wing UAVs. Besides research activities you will also contribute to the lectures and
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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