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this call will take on leading roles in the empirical work of the project, with different but complementary profiles. Both postdocs are expected to have an affinity to computational methods and tools
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are motivated to learn EV and small-RNA methods are explicitly encouraged to apply. Required qualifications PhD degree in Plant Science, Plant Physiology, Plant Molecular Biology, Microbiology or a related
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are looking for applicants with interests in the biogenesis and turnover of nuclear RNA and its relationship to gene expression regulation in mammalian cells. Applied methods range from cell biological over
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, C++, or equivalent) Experience with 3D modelling, rendering, or fabrication, and haptic feedback Familiarity with computational or optimization methods applied to interaction (e.g., computational UI
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technologies. The postdoctoral researcher will perform operando and time resolved structural characterization of materials and devices during switching, combining methods such as laser pump and X ray probe
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methods for approaches such as model-data fusion techniques. The main focus of your position will be to develop and apply a scalable process-based modeling framework to evaluate climate-smart management
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of materials and devices during switching, combining methods such as laser pump and X ray probe total scattering, WAXS and SAXS, imaging, and femtosecond X ray diffraction to probe structure and dynamics in real
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state-of-the art social-science research. Experience with both quantitative and qualitative analyses, as well as mixed-methods designs are an advantage. What we offer A project that studies a highly
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developing new visualisation strategies to aid delineation, as well as developing deep learning methods to enhance photon-counting CT images and better visualise tissue boundaries. The project will also
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, including quantitative PTM analysis, mass spectrometry method development, data-independent acquisition (DIA) strategies, laboratory automation, and scalable proteomics workflows. Both positions are initially