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TU Dresden Excellence – A matter close to our hearts Excellence? Elitism? Opportunity or risk? The Excellence Programme, initially launched in 2005 by the German government has aroused passionate debate right from the start and still has the potential to polarise opinion. TU Dresden (TUD) looks...
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communication methods and signal processing algorithms for future wireless technologies. We are looking for support in research projects on applications of 5G/6G-based communication technologies in robotics
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strategies, and cross-functional collaboration — shaping the future of quantum computing. We holistically address business-relevant challenges using innovative quantum computing algorithms and demonstrate
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spectrometry and programming skills. The position is very suitable for a Master's thesis. Furthermore, the working group plans to establish a PhD position in this field in the course of 2026. Although a
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Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 9 days ago
algorithms to estimate human shape and motion in images, videos, RGB-D sequences, etc. Our approaches define the current state of the art. The Data Team is working closely with computer vision researchers
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the scientific IT of the Tectonics and Sedimentary Systems departments • Supporting team members with technical problems • Creation and maintenance of internal databases, including data backups, BSc/MSc/PhD and
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processing Simulation and verification of the implemented algorithms with test vectors Integration of IP cores into an OFDM-based Physical Layer Debugging of implemented designs in a LiFi testbed Collaboration
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properties Physics » Solid state physics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Germany Application Deadline 15 Oct 2025 - 23:59 (Europe/Berlin) Type of Contract
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applications. Our overarching aim is to obtain a holistic view of interconnected biological systems in health and disease. We develop clearing technologies for cellular-level imaging and deep learning algorithms
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. Utilize AI and statistical techniques to extract insights from large time series datasets. Collaborate within an interdisciplinary team to develop innovative algorithms for forecasting, ranging from short