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· FEI F20 200 KeV STEM, EELS + EDX · Fully Automated FIB Helios 5UX · FEI SEM Quanta and SEM Magellan Requirements: Education: PhD in Physics, Materials Science, Nanoscience, Computer
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. The successful candidate will have access to dedicated high performance computing (HPC) system, multiple Krios TEMs, advanced cryo-FIB-SEM systems including Hydra-bio, Arctics, and Aquilos II with integrated
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, semiconductor materials or optoelectronic devices. Experience with materials characterization techniques such as XRD, XPS, SEM, AFM, ellipsometry, Hall measurements or related methods. Experience with solar-cell
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repairs; -simple wiring/soldering; -chemical analysis methods; -characterization techniques like mass spectroscopy, sorptometry, light microscopy (having SEM & XRD skills is a plus); -safety issues in
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manufacturing (printing, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR
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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 2 months ago
Fluorescence (XRF), X-ray Diffraction (XRD), X-Ray Photoelectron spectroscopy (XPS) and Scanning Electron Microscopy (SEM). 4. Experience in mentoring graduate students, and a proven track record of publications
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techniques such as XRD, XPS, SEM, AFM, ellipsometry, Hall measurements or related methods. Experience with solar-cell characterization (J-V, EQE, stability testing) is considered an advantage. Excellent
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), structural equation modeling (SEM), latent profile analysis, causal mediation, and related techniques. Proficiency in statistical software and programming languages (e.g., SPSS, MPlus, R). LICENSES: A valid
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, are also encouraged to apply. Note: This position does not require expertise in latent growth modeling or structural equation modeling (SEM), and these methods will not be used in this role. Applicants whose
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, deposition) Working experience in clean room is highly valued Both hands-on and data analysis skills in classical materials characterization methods (i.e., TEM, SEM, XRD, XPS, NMR, IR, Raman, XAS, SAXS, etc