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disease (CAD). You will apply expertise in data science, machine learning, as well as multi-omics integration to predict and validate functional regulatory networks in vascular cell types. This work will
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investigating how targeted interventions modulate brain networks and relate to clinical improvement in PGD. The Fellow will contribute to the development of computational brain models of grief and resilience in
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, and engage with a vibrant network of national and international collaborators. The recruited candidate will work in the AIMLeNS lab lead by Assoc. Prof. Dr. Simon Olsson at Chalmers University
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neuron electrophysiology as well as complex network dynamics in the context of specific perturbations. You will use these data to map the disease in terms of electrophysiological dynamics and stratify
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, proteins) in cells to observe the dynamic formation of cell interfaces in epithelia. You will generate complex data based on super-resolution fluorescence and CryoET and will need to analyse data. We
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neuron electrophysiology as well as complex network dynamics in the context of specific perturbations. You will use these data to map the disease in terms of electrophysiological dynamics and stratify
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models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
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accumulations on our planet. They also break seafloor telecommunication cable networks that form the backbone of global data transfer, and there is emerging understand that they bury globally significant amounts
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in time-predictable computer architecture. Designing a network-on-chip for real-time automotive systems Verify the design with modern verification methods, such as function verification and formal
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering