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ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
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challenging, and new theoretical methods and algorithms are required. The research project aims at deriving priors for Bayesian methods from atomistic simulations and machine learning. It also offers
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military or alternative service, to care for close relatives or due to long-term illness. Job hunting, unemployment and non-academic employment do not count as career breaks. The voluntary disclosure
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Humboldt Research Award programme information. Humboldt Research Award programme information (PDF, 63 KB) Recently selected award winners Hint Online info event: If you would like to learn more about this
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or alternative service, to care for close relatives, due to long-term illness or, for example, to care for children or due to the closure of institutes during a lockdown imposed to control an epidemic
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international research environment covering a wide variety of research areas, such as algorithms and data structures, machine learning, computer graphics and vision, database systems, artificial intelligence
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computer skills. We also expect successful candidates to be active team players in the RTG. Experience with data collection in an international context will be a plus. Language requirements Excellent command
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streaming and batch processing. These efforts provide the foundation for advanced analytics, machine learning, and AI applications. The IDE Research School guides PhD researchers by offering a platform for
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for improved understanding of structural and kinetic processes in electrolytes; and machine learning concepts for improved analysis of experimental and simulated data. Material Synthesis Within this research
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, students gain profound knowledge in key areas of infection biology. At the same time, students learn to examine their research findings critically and to present them to an audience. In the last two half