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application! We are looking for a PhD student in automatic control at the Department of Electrical Engineering (ISY). Your work assignments The research area for the position is complex networks and multi-agent
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multi-omics integration with advanced machine learning, including artificial neural networks, to predict disease-relevant splice variants across cardiometabolic diseases. By leveraging extensive meta
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information here: https://ki.se/en/research/research-areas-centres-and-networks/research-groups/molecular-epidemiology-of-aging-sara-haggs-research-group A key strength of MEB is its strong collaborative
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expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems, neuroscience, and safety and security
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combined research areas. Previous experience in one or preferably more topics from these areas is considered a merit. - 5G reconfigurable Connectivity - 5G/6G QoS - Control of Communication networks
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position Studying gut microbiota community development in children The infant gut microbiota undergoes rapid compositional and strain-level changes before stabilizing toward an adult-like configuration
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next generation microbiota aided therapies. About the position Studying gut microbiota community development in children The infant gut microbiota undergoes rapid compositional and strain-level changes
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candidate will participate in the EU-funded HORIZON-MSCA-DN-2024-01 project LipAgg. The LipAgg network brings together partners from five European countries and comprises nine academic institutions and twelve
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-language-action models (VLA), specifically the handling of uncertainty in VLAs. VLAs have the potential to simplify system design in robotics and autonomous driving, both through verbal user interfaces, and
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investigates how individuals and communities in Central Asia pursue justice and rights outside formal legal channels and institutions, using informal negotiations and everyday social interactions. It explores