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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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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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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 6 days ago
institute of the Max Planck Society and is dedicated to the study of human cognitive abilities and brain processes as well as the development of neuroimaging methods. The Brain Networks Research and
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Your Job: Catalyst synthesis and characterization: Prepare inorganic catalysts via wet-chemical methods and perform detailed chemical and physical analyses using XRD, XPS, SEM, TEM and Gas sorption
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offers the opportunity to be involved in fruitful national collaborations. In this exciting job you can expect: to develop automated workflows for descriptor based microstructure reconstruction to identify
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the skin to facilitate specialized interactions. Understanding type 3 dendritic cells biology in the context of health and disease will allow us to develop targeted therapeutic strategies aimed at modulating
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lab) to investigate the molecular mechanisms controlling gene reactivation during development. Using human induced stem cell models with fluorescent reporters and high-throughput screening approaches
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underexplored, particularly in humans, where further diversifications have occurred. This project will investigate how chromatin-associated paralogues coordinate during development and how their dysregulation
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | 7 days ago
-motivated and qualified candidates to work with an international team on developing cutting-edge novel demographic, statistical and computational methods in estimating, modelling and forecasting measures
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& Development), focuses on assessing the CO₂ storage potential of seagrass meadows and identifying climate-resilient restoration sites in the Baltic Sea. The project integrates regional climate modeling, AI