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multiscale analysis of the mass distribution, as well as that of the flow field structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer
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critical literacy skills to evaluate news in the context of algorithmic personalization and GenAI. It brings together expertise on media and journalism studies, digital literacy and inclusion, argumentation
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the form of a human-expert informed reward function. Second, we aim for the integration of low-energy machine learning algorithms, so that the resulting AI model can run on a variety of devices, including
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structure, and of the force and tidal field that has been shaping the cosmic web. The basic detection algorithms to infer the overall structure of the cosmic web are the various versions of the scale-space
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like the target voice, such as competing voices, which are particularly challenging for noise reduction algorithms currently employed in hearing aids. With multimodal hearing aids, which capture a
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assets, in combination with other types of power system assets (batteries, etc.). From a research perspective, this can involve techniques from algorithmic game theory and AI-based mechanism design
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operation Quantum algorithm implementation and benchmarking About you You have a relevant Masters deegree corresponding to at least 240 higher education credits (Physics, Nanotechnology, Engineering, Computer
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to the success of the whole institution. At the Cluster of Excellence „Physics of Life” (PoL), the Heisenberg Chair of Biological Algorithms (Prof. Dr. Benjamin Friedrich) offers a position as Research Associate
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, their achievements and productivity to the success of the whole institution. At the Cluster of Excellence „Physics of Life” (PoL), the Heisenberg Chair of Biological Algorithms (Prof. Dr. Benjamin Friedrich) offers a
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technologies for various applications including underwater acoustic communications. Prof. Rong (total citations 4744; h-index 37) has good track record in underwater acoustic communications. The supervisors