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Description Competition on possition: Assistant profesor in the research staff group (Post-doc) in OPUS project at the Faculty of Civil and Envirnomental Engineering, in the Departament of Mechanics
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; Development of models to describe forest condition based on environmental data and stand parameters using various statistical/machine learning methods; involvement in dissemination activities; publication
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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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staff position within a Research Infrastructure? No Offer Description Post-doc position available in the Institute of Physical Chemistry PAS within National Science Center (NSC) SONATA 16 Project No. 2020
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in glasses. The topics range from materials’ deformation to machine learning approaches and we are interested in particular in complex metallic glasses. Some recent example publications are: .Phys
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develop novel algorithms (Vision Transformers, Self-supervised Learning, Explainable AI, and others) and train machine learning models for cancer images (CT and PET/CT scans). The post-doc position involves
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algorithms (e.g., in quantum machine learning methods) and to develop new ones with promising practical applications. Furthermore, we intend to apply these mathematical insights to symmetry-based reductions