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Website https://www.academictransfer.com/en/jobs/358703/phd-in-scalable-safe-ai-for-sem… Requirements Specific Requirements A master’s degree AI, Machine Learning, Data Science, Computer Science or a
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particle geometry in three dimensions using slice-and-view FIB-SEM analysis. Determining mineralogical and chemical properties (composition, zoning, crystallographic orientation) using complementary electron
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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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microenvironment in these foraminifera. Novel techniques including high-pressure freezing and fluorescent/ cry-FIB SEM imaging will be applied and will complement experiments at the NIOZ. Handling living
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techniques, including X-ray diffraction, XPS, SEM-EDX, and in situ Raman and IR during electrocatalytic experiments. The performance of the selected materials will be investigated in the lab and in a pilot
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to reduce the stack pressure required for cycling using functional interlayers. You will use techniques such as EIS, solid-state NMR, FIB-SEM, and various electrochemical methods to characterize materials and
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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