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Field
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analyse large, multidimensional 4D STEM datasets. Develop or adapt software tools (e.g. Python, MATLAB) for image reconstruction, phase mapping, and quantitative analysis of ferroelectric domain wall
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such as landslide movement style, runout, and how landslide hazards evolve over time. This Ph.D. project will leverage the analysis of new time-series data from cloud-based satellite image archives
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’ at BMB and the ‘Danish National Mass Spectrometry Platform for Proteomics and Biomolecular Imaging’ (PLATO), which provides a highly international, collaborative, ambitious and innovative research
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digital technologies. At HPI, you benefit from close supervision by experienced professors and postdocs, cutting-edge research facilities, and a collaborative academic network, e.g. with the University
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image analysis to phenotype root anatomy Plant and root physiological measurements to determine the function of root phenotypes Plant cultivation (maize) in the greenhouse and field Keep informed with
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and IT develop innovative radiopharmaceuticals and novel tools for functional characterization, improved imaging and personalized treatment of tumors. The Department of Department Life Science
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. cell culture, molecular biology, imaging, cell signalling assays). As well as performing experiments on the project, the role will involve providing training in techniques to relevant staff/students
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unique resources, including a collection of over 9,000 pairs of donated human eyes – complete with full genetic profiles, images, and ophthalmic and medical histories – and a large study cohort of AMD
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biochemistry techniques, confocal laser scanning microscopy, and live cell imaging with automated fluorescence microscopes to address and answer the research questions. The research team is located in the Sir
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field Interest in a varied subject area with diverse challenges in planning and design, design and implementation of tests on a prototype in the technical center as well as the supervision of large-scale