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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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publish them in highly-ranked conference proceedings and journals in the areas of, e.g., AI/machine learning, software engineering, high-performance computing and/or other areas of interest. To the extent
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and future developmental timepoints from time-series data. Our recent theoretical work suggests that these learned relationships can generalize across conditions, and we will test this using both
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detecting fraud – but other sample types will also be studied, and the successful applicant will contribute to shaping the research direction. The applicant will work closely with wet and dry-lab researchers
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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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Subject description Soils are the base of our society and our food security, but they are one of the last domains of our modern life to be technologized. Soil microbes are essential as symbionts
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– to dissect the organization and function of sensory circuits. Lab web: ki.se/en/neuro/lallemend-lab Type of scholarship The amount is tax free and it is set for twelve months at a time, paid out on a six
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++, ROS, Matlab, etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life operating conditions, in an approach to close the gap between pure theory and
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The lithium-ion battery market is expanding rapidly, driving the need for innovation in key components. Binders, crucial for electrode stability and long-term cycling performance, face challenges in both anode
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systems, or network analysis. Experience with methods for causal inference, or modelling of biological systems is also considered a merit, along with prior work involving large-scale sequencing data such as