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and generative AI solutions tailored for large-scale research datasets. Prototype AI applications on local GPU-hardware, ensuring seamless scalability to HPC environments like the Gefion supercomputer
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embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy) to evaluate performance
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mechanisms, and quantitative imaging. Experience with CRISPR-based gene editing, optical microscopy, and quantitative skills are required. Previous work in the field of cell cycle, genome integrity and
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imaging-based tissue analyses. Performing proteomic and bioinformatic analyses to identify radiation-induced changes in tumor and stromal compartments. Contributing to scientific publications and presenting
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postdoc is for a period of 24 months, and the ideal candidate is a marine ecologist having experience with imaging PAM, microsensors and TOC measurements (for determination of carbon capture and breakdown
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quantification of microbial Infections of Plant tissues”. This project aims to understand how root nodules are colonized by rhizobia using X-ray tomography and advanced image analyses. The postdoctoral candidate
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scientific publications at major international peer-reviewed venues of core machine learning research. Strong scientific programming skills demonstrated by contributions to public code repositories or released
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quantification of microbial Infections of Plant tissues”. This project aims to understand how root nodules are colonized by rhizobia using X-ray tomography and advanced image analyses. The postdoctoral candidate
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imaging, especially in vivo imaging Coding experience in Matlab, Python or R Record of first-author publications or preprints Success in competitive funding schemes/awards Experience with inflammatory
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modelling and interpretation, but other aspects of neutron science are also relevant, for example QENS, reflectometry, and imaging. The candidate has a strong background in soft matter and experimental