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focuses on two central aspects: accelerating technology development and designing sustainable P2X value chains. As a PhD researcher, you will contribute to the new stack designs for high-temperature
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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, the European “Green Deal” and the phase-out of lignite. Funded by the German Federal Ministry of Research, Technology and Space, the project focuses on two central aspects: accelerating technology development
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03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
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data science as a supporting component of the school. Furthermore, the school offers a number of individual measures to promote career development. Based on this year´s projects the PhD will be earned
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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to stop the development of type 2 immunity are lacking, as are pathways that specifically regulate the development of allergies, while retaining anti-parasite and wound healing responses. PhD Project
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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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spoken Preferably experience in software development Our Offer: We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change! We support
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the manufacturing and characterization of material samples. As such, the position offers the opportunity to be involved in fruitful national collaborations. In this exciting job you can expect: to develop automated