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or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and
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research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists. Qualification, Skills, and Experiences: PhD (for postdocs, preferred) or M.S./B.S. (for strong
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crystal, powder and pair distribution function. With knowledge and experience of advanced quantitative Rietveld, in-situ measurements and PDF analysis. Deliver courses on X-ray diffraction and X-ray
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relevant experience in the electrical engineering industry and preferably is familiar with electrical power distribution system. • Prior knowledge on power system condition monitoring would be an advantage
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Separation, Process Heat Integration, Process Compressor System, Steam and Condensate System, Compressed Air System, Motor Driven System, Power Distribution System and Electric Motors, Combined Cycle and Co