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. For modeling, we use both public and proprietary clinical and research data and generate our own repository of digital pathology images. A further focus of our lab is the improvement of digital pathology
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characterization of spin coherence during shuttling Shuttling-compatible demonstration of high-fidelity qubit control Demonstration of T-Junctions (Fig. 1(b)) as step towards qubit grids Advancement of a shuttling
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management. Our group combines empirical work (with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets
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Advanced software development and data analytics skills Hands-on mentality with first practical experience in developing innovative technology Inquisitive and passionate about research and knowledge transfer
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participate in the university's self-administration and the structural tasks of the institute. You will be actively supporting our EV Powertrain team, which focuses on research related to high-voltage batteries
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning
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(with experiments in the field and in the lab) and modelling techniques. The focus of this postdoctoral position is the generation of empirical datasets for livestock systems in East Africa, and in
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) for the Information Service Engineering department (ISE) in Karlsruhe startingOctober 1, 2025. The ISE department, led by Prof. Dr. Harald Sack, investigates models and methods for efficient semantic indexing
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of immune cells and in functional assays determining T cell functions - Experience with in vivo experiments in preclinical model systems of viral infection - Excellent writing and communication skills
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rankings in research and teaching. Our group “Sustainable Energy Materials” concentrates on the preparation of heterogeneous catalysts and the understanding of structure-performance indicators in