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the characterization of nanomaterials using various techniques, including OM, SEM, TEM, XRD, AFM, and XPS. Familiarity with in-situ characterization and theoretical simulations. Strong record of publishing in high
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new membrane structures and materials Characterization and analysis of membrane properties using advanced analytical tools, e.g., SEM, TEM, XPS, AFM, etc. Performance testing of membrane in various
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, and carry out device and materials characterisation using techniques such as SEM/EDX, XRD, Raman, XPS and electrical (I–V) measurements. The role will involve integration of novel materials into device
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, and carry out device and materials characterisation using techniques such as SEM/EDX, XRD, Raman, XPS and electrical (I–V) measurements. The role will involve integration of novel materials into device
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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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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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characterization techniques such as XRD, N2 adsorption, FESEM, TEM, XAS, XPS, dissolution-NMR, IR spectroscopy and TGA and other related spectroscopy techniques such as UV and fluorometer. Skilled in performing
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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
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, XPS/AFM, electrical probing; DoE/statistics (Python/Matlab a plus). Strong documentation, safety discipline, and clear communication in English. Process integration & optimization; root-cause/failure
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-on and characterization techniques such as TGA, DSC, FTIR, DMA, rheology, NMR, CHNS, XRD, XPS, etc. Software skills relevant to relevant to machine learning, process design, mass balance, cost analysis