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in soft robotics. PI is seeking to recruit a talented postdoc with a creative mindset and appropriate skillsets to deliver the project of soft grippers, particularly on coatings and interfaces
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Responsibilities: Development of stochastic and analytical methods for nonlinear partial differential equations Implementation of relevant numerical experiments using deep learning algorithms Job Requirements: PhD
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one statistical software package (e.g., SPSS, R , Stata, M plus) Proficient or knowledge with Machine Learning algorithms Experience in working with databases. Experience with Qualtrics Familiar with
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: Identify market-readiness of IDMxS inventions Coordinate the preparation of marketing materials for distribution and dissemination Research local and global industry trends and needs Develop Communications
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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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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