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simulation of time dependent non-linear PDEs has emerged as a key technology. A main task of this employment is the development and analysis of numerical methods for wave propagation problems. Particular focus
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program is needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en
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the mechanical properties of conjugated polymers and on the development of spinning processes for the manufacture of conducting polymer fibers for wearable electronics. A summary of the research field can be found
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the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
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techniques with omics-based approaches (metatranscriptomics and metaproteomics), you will uncover the molecular mechanisms that enable microbial cooperation. You will also take part in developing innovative
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and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en/wiforce), was created. Description Soil food web
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research projects and prepare for an international research career. Read more about the research at The Department of Chemistry – BMC at our website . We are looking for astudent for studying structural
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the foundation for learning, creativity and development. We welcome people with different backgrounds and experiences to apply for the current employment. We kindly decline offers of recruitment and advertising
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. The goal of this project is to advance gene regulatory network (GRN) inference from multi-omics data by developing novel AI techniques that exploit the knowledge of gene perturbations (experimental design
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application! We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images Your work assignments The position focuses on developing methods for federated learning