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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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learning can improve software architecture recovery, how to optimize machine learning models at compile and runtime, and autonomous agents for software development. Part of the research is conducted through
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experiments, cutting-edge NMR spectroscopy and isotopomer analysis (doi: 10.1111/nph.20358). Two postdocs will work together to conduct plant ecophysiology experiments, and to analyze samples by NMR
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, pathogens and drivers of nutrient cycles, but it has been difficult to study them in their natural habitats. We want to use and develop a novel way to investigate soil microbial communities and species over
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samples collected over 34 years in northern Sweden, to identify and understand interdependencies between species, and to explore how climate change and land-use shifts have shaped these patterns