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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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processing, computer vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. The University may permit
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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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of the project, you will take part in designing studies and have the opportunity to develop your ability to plan, conduct, and communicate research. Your work will include both literature reviews and empirical
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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