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Field
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characterization (SEM, TEM, XPS, FTIR, etc.) Programming skills (Python, MATLAB, or similar) Exposure to machine learning methods (e.g., Bayesian optimization, active learning) is an advantage Understanding
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testing, standard electroanalytical techniques (CV, chronoamperometry etc.), and a range of characterization instruments such as XRD, SEM, TEM, TGA, DSC, visible-UV, FTIR, Raman, and synchrotron-related
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-driven structure–property relationships, metallurgy, or chemistry. Preferred Qualifications: Strong analytical skills are beneficial, including but not limited to XRD, IR, SEM-EDS, TGA, DTA, and
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techniques such as XRD, SEM, optical spectroscopy, I–V/C–V measurements, time-resolved techniques). Coordinate with system engineers for system-level integration and testing: optical coupling or charge readout
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microscopy - Perform single particle detection and spectroscopy in a microfluidic setup - Perform different microscopies including scanning electron microscopy (SEM), and optical microscopy (OM
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biosensors, chemical sensors. Know-how of analytical chemistry/sensing is essential. You will have the unique opportunity to work with state-of-the-art SEM, TEM, UHV STM systems, GC/MS, XPS, and ALD as
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corrosion, SCC, HE, and allied fields and microstructural characterization techniques such as SEM, TEM, EBSD, nanoindentation. Demonstrated expertise in high level research through a good scientific
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corrosion, SCC, HE, and allied fields and microstructural characterization techniques such as SEM, TEM, EBSD, nanoindentation. Demonstrated expertise in high level research through a good scientific
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skills using R, Stata, SPSS, MPlus or Python. Experience managing nationally representative survey datasets and conducting complex statistical analyses (including multilevel modelling and SEM). Here's how
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engineering, green technologies, agricultural practices Proficiency in hands-on and characterization techniques such as TEM, EDX, SEM, FTIR, TGA, XRD, XPS, CHNS, ICP preferred Software skills relevant