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will be expected to dedicate your time develop a high-biofidelity, high-resolution computational rat model with dual applications: i) advance the mechanistic understanding of brain injury by linking
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carried out in close collaboration with healthcare services, which includes handling patient samples. The research group consists of the principal investigator (Meliha Kapetanovic), two PhD students, three
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to the development of methodologies for modelling, predicting, and validating dynamic interactions through numerical simulations and field measurements. This project is funded by The Swedish Transport Administration
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system stability in grids increasingly dominated by converter-interfaced energy resources. In addition, the project will feature extensive laboratory-based work, offering valuable hands-on experience with
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-interfaced energy resources. In addition, the project will feature extensive laboratory-based work, offering valuable hands-on experience with advanced energy technologies. About us The Division of Electric
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future through materials science. Read more: https://wise-materials.org What You’ll Do: Develop biohybrid living materials and devices based on photosynthetic organisms with responsive and evolving
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approach combines behavioral experiments, psychophysiology, computational modeling, and brain imaging (fMRI). We offer a dynamic, international research environment where you can contribute to top-level
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develop and improve protein-glycan binding prediction models and use AI, data science, and bioinformatics to identify and design glycan-binding proteins with desired binding specificities. Qualifications
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spinal cord as a model system. You will engage a systematic strategy to identify these mechanisms by generating innovative mouse genetic strains, identifying embryonic defects and the underlying molecular
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to emerging digital technologies Interplay between technology development and business model evolution - how advancements in technologies reshape value creation and value capture, necessitating continous