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while retaining strong error guarantees. This means that researchers can adapt their research questions and sampling plans to the data as they come in and in a way that is as model-free as possible. We
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fuzzing technology by learning such models in real-time and using them to: guide the fuzzer, discover logical faults, and pin-point their root cause. This builds on the works of the cyber analytics lab
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learning, distributed systems, and theory of networks. Within these three areas, we are currently working on several projects: graph neural networks, natural language processing, algorithmic learning, fault
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to: Conceptualisation and realisation of a versatile, modular, autonomous decision support system (DSS) tailored to enhance the O&M practices of wind turbines, focusing specifically on faults that may cause degradation
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practices of wind turbines, focusing specifically on faults that may cause degradation of the wind turbine and plant power generation performance. Identify signals or metrics that can be indicators
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practices of wind turbines, focusing specifically on faults that may cause degradation of the wind turbine and plant power generation performance. Identify signals or metrics that can be indicators
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development of food products? Then this PhD position may be for you! Currently, new product development (NPD) of foods is a based on a trial-and-error method. The result a slow development of new food products
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systems and develop solutions for the detection, classification and characterisation of images in a variety of dimensions, wavelengths and resolutions. By recognising endangered wood species, we
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, analysis, and model choice while retaining strong error guarantees. This means that researchers can adapt their research questions and sampling plans to the data as they come in and in a way that is as model
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the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association www.leibniz-gemeinschaft.de . You can find more details on the institute webpage: www.ikz-berlin.de . The SiGe-based Quantum Materials