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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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detectors (Partial) automation of detector characterization for more efficient analysis Algorithm development: Development of a correction method based on information field theory for atmospheric image
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control, state estimation, and path planning algorithms for single and multi-agent robotic systems (UAVs). develop and train AI models for practical applications such as real-time object detection and
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collaboration with PhD students and postdocs on cutting-edge research fabrication of novel metal fiber-based current collectors processing and analysis of colloid dispersions & polymer materials manufacturing and
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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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terrestrial system models, for example using data analysis methods, such as data assimilation, physical- or process-based machine learning, or deep learning algorithms Analysis of the effects of human
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Required Qualifications: Bachelor's or master's degree in computer science, software engineering, or a related field Proven experience in technical leadership roles on cloud-native or distributed system
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Berlin Acquire independent funding at the national and international levels No minimum postdoctoral experience is required; past hires have had between three and seven years of postdoc experience We offer
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simulation of complex detection systems, data handling and distribution. Good spoken and written knowledge in English and at least basis knowledge in German. Skills in organization and communication. We offer
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embark on the growing field of angioscience research. The positions will come with a solid start-up package. Support to secure additional extramural funds (DFG, ERC, etc.) as well as intense postdoc