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Field
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techniques: X-ray powder diffraction (XRD), X-ray photoelectron spectroscopy (XPS), N₂ adsorption/desorption, scanning and transmission electron microscopy (SEM/TEM), confocal microscopy, small-angle X-ray
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mapping, and bedrock sampling - Rock and mineral characterisation using a variety of microanalytical techniques (SEM-EDS/WDS, EMPA, Micro-XRF, LIBS, LA-ICPMS, SIMS) - Targeted geochronology studies
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of microanalytical techniques (SEM-EDS/WDS, EMPA, Micro-XRF, LIBS, LA-ICPMS, SIMS) - Targeted geochronology studies of sedimentary, metamorphic and igneous rocks (e.g. U-Pb SIMS and LA-ICPMS analysis
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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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into functional systems. Technical Skills: Advanced analytical techniques (e.g., SEM, TEM, XPS, Raman spectroscopy). Hands-on experience with nanomaterial functionalization and coating processes. Soft Skills
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Application deadline: 31/03/2026 Research theme: Nuclear Materials Hoe to apply: https://uom.link/pgr-apply-2425 UK only This 4-year PhD project is fully funded by the Nuclear Decommissioning
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by different means (FTIR, UV-Vis, electron microscopies, TGA, NMR, EPR and elemental analysis, among others). Morphological characteriztion electron microscopy, (SEM, TEM, etc...), DLS, etc. Determine
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(Saint-Gobain), while a comprehensive suite of advanced micromechanical characterization methods, including optoacoustic measurements, nanoindentation, and nanoscratch testing (both in situand ex situ SEM
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. Experience in characterisation techniques such as TEM/SEM/IR/DLS/XRD is desired but not mandatory. What We Offer: Type of contract: Full-time contract Lenght: 4 years Salary: Gross annual salary in accordance
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independently and in a team A creative, critical, analytical and innovative mindset Experience as a researcher or in industry is a plus Hands on experience with any of the following is an advantage: SEM, TEM, XRD