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state-of-the-art magnetic imaging with advanced electron microscopy techniques. You will generate high-quality experimental datasets that form the basis for data-driven micromagnetic modelling developed
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. Conventional experimental techniques such as dilatometry, optical and electron microscopy, electron backscatter diffraction and x-ray diffraction with Rietveld refinement are available at the lab and can be used
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of immunity to environmental influences. Conventional experimental techniques such as dilatometry, optical and electron microscopy, electron backscatter diffraction and x-ray diffraction with Rietveld
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using advanced analytical techniques, including TED-GC/MS (Thermal Extraction Desorption–Gas Chromatography Mass Spectrometry) to quantify microplastic mass, SEM-EDX (Scanning Electron Microscopy with
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the detachment process. To achieve this goal, the project will use a dedicated in-situ scratch tester with in-situ scanning electron microscopy observation capabilities, which so far was used for indentation
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mouse handling are required. Familiarity with microscopy and/or molecular or cell biological techniques are strengths. The candidate needs to have good writing and presenting skills (in English). Where
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characterization using cryo-electron tomography (cryo-ET), and complementary light microscopy methods. Specific objectives are: Setting up cryo-ET FIB SEM workflow for reconstituted synapses Visualize nanoscale
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/science/biology . Selection criteria Candidates should have an MSc degree with a strong background in microbiology, molecular genetics, microscopy and/or biochemistry and an excellent grade list Candidates
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of larval zebrafish. Data analysis: analyze whole‑brain calcium imaging recordings. Spatially resolved molecular methods: apply expansion microscopy (ExM) adapted for spatial transcriptomics to identify
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that are acoustically transparent. We will characterize the flow characteristics and the biological characteristics using (live) microscopy of relevant cell characteristics. Building on this first-generation model, we