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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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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The following main research goals are pursued by this Center: (1) develop a new set of
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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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into the EURECA consortium. The overarching objective of EURECA - The European Epitranscriptomics of Cancer Academy-, is to train young doctoral candidates into excellence at the frontiers of basic and
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results is expected to advance our understanding of nuclear shape evolution and shell structure far from stability. This position offers the opportunity to strengthen the physics scope of the local group
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materials. • Developing new methodologies in the field of nanofluidics. • Design and implementation of nanofluidic experiments with porous materials. • Publishing and presentation of scientific results
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nanoparticle libraries for targeted anti-inflammatory strategies (www.polytarget.uni-jena.de ) and is associated with Project B03, which focuses on the development of functional polymer architectures
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Description The Hector Fellow Academy offers the opportunity to carry out a self-developed PhD project under the supervision of Prof. Katrin Amunts (Cécile and Oskar Vogt Institute of Brain Research
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scientists on developing noise-aware quantum programming paradigms Your Profile: Master in physics, computer science or comparable fields Good knowledge of quantum theory, ideally quantum information theory
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microbial communities and plant performance, and will assess the legacy of such effects on plant performance across subsequent generations (plant-soil feedback). The results will support the development of a