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) apply. An interim evaluation is scheduled in the third year after commencement of employment, on the basis of which a decision will be made about an extension for a further three years. A final evaluation
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integrating EPICS (Experimental Physics and Industrial Control System) as the main control software for the new AMS facility HAMSTER (collaboration with HZDR and the Australian National University) automated
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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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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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group focuses on developing strategies and algorithms to quantity biologic effects of particle radiation based on underlying physics, biology and physiology. Within the BMFTR funded project “BIOMICRO
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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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contact Prof. Dr. Daniel Heyen (daniel.heyen@wiwi.rptu.de ). The appointment presentations are scheduled to take place in calendar weeks 45, 46 or 47.
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and analysis of mathematical methods for novel imaging techniques and foundations of machine learning. Within the project COMFORT (funded by BMFTR) we aim to develop new algorithms for the training
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand