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competition for the post of Research Assistant Professor (POST-DOC) at the Faculty of Mechanical Engineering under the NCN project No. UMO-2020/39/B/ST8/01449: “Development of a new passive flow control method
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salts or by electropolymerization. Both methods are very effective but they do not allow for a spatial control over the polymerization process. Moreover, it is worth mentioning that both methods require
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Eastern Time. Position Description Applications are invited for a postdoctoral position in gravity and cosmology with an emphasis on semiclassical methods , within the Institute of Theoretical Physics
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of statistical data analysis methods and potential application of machine learning techniques. Good command of English (B2/C1). LanguagesENGLISHLevelGood Research FieldPhysics Additional Information Benefits
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-driven methods to understand glass transition and mechanical behavior under extreme conditions. Machine Learning Approaches for Material Characterization: Implementing machine learning techniques