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National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | 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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analysis by Rietveld refinement. Ability to interpret SEM/EDS, DSC/TGA, ICP-OES or ICP-MS, LECO O/H/N, XRF, magnetic property measurements, NMR, or related characterization data. Experience with
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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
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effectively across disciplines. Required qualifications: You hold a PhD in (bio)physics, structural biology a related field. You have demonstrated experience in FIB-SEM workflows and cryogenic electron
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, thermodynamics, and process optimization Experience with analytical and characterization techniques such as XRD, SEM-EDS/EPMA, ICP OES/MS, TGA/DSC, heating microscopy or related methods Knowledge of thermodynamic
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characterisation tools (Raman, AFM, SEM, TGA, DLS, spectrophotometry, electron microscopy, HPLC, XPS) Good understanding of scientific data plotting and statistical data analysis IT tools (Origin Pro, Graph Pad
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diffraction, electron microscopy (SEM and TEM), spectroscopy (FTIR and Raman), and electrochemical (EIS and battery cycler). Publication record with excellent written and oral communication skills. Ability
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methods (e.g. SEM, Growth Modeling, etc). Professional Competencies • Ability to work as part of a collaborative scientific team. • Excellent communication skills. • Ability to work with large data sets and