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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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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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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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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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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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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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methods for producing the material by recombinant protein production and biomimetic fiber spinning. The group consists of an excellent team of several PhD students, PostDocs, and Researchers working
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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
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of an excellent team of several PhD students, PostDocs, and Researchers working on different projects related to biotechnological methods for producing recombinant silk proteins, characterization of these, spinning
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beam time Dissemination and education activities directed to MAX IV users and the wide MX community. To be successful in this role you need to have the following qualifications PhD or equivalent in