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live in. Your role The researcher will join the team of Prof. Ivan Nourdin and contribute to an ambitious project at the interface of probability theory and artificial intelligence, whose goal is to
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field that provides a sufficient degree of background in computer science, artificial intelligence, mathematics and data science. Fluency in English, Python, and C/C plus plus are required. Experience
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. The position is embedded in a broader research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence
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(graduated or close to graduation) in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, Applied Mathematics, or related fields. Scientific curiosity and creative thinking
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transceiver design Hardware & waveform design: Reconfigurable intelligent surfaces, flexible antennas, power amplifiers, 6G waveform design including Orthogonal-Time Frequency Space modulation and Discrete
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are used as readouts in drug screening approaches, to identify molecules that, after in vitro and in vivo validation, could be potentially used in future intelligent clinical trials. The clinical research
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for developers, allowing them to achieve trustworthiness, efficiency, and transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and
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As part of the German government's artificial intelligence (AI) strategy, the successful Saxon competence center ScaDS.AI Dresden/Leipzig (Center for Scalable Data Analytics and Artificial
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approaches, including artificial intelligence (AI). The position is funded by the CRC1713. Please note the unique administrative setup: Place of Work: The research will be conducted in Munich at the Biomedical
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, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities