8 augmented-workers-using-smart-robats-in-manufacturing-cell Postdoctoral positions at Empa
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. You will perform microstructural characterization of dry coated electrodes using physical and machine learning based methods and the electrochemical assessment of the electrodes in battery cells. Your
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systems. This position is part of an Innosuisse-funded collaborative project with industry partners, focusing on the development and performance assessment of externally bonded CFRP reinforcements using
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Adhesives Your tasks Development of externally bonded CFRP reinforcement systems for concrete strengthening using flexible adhesives, in close collaboration with industry partners. Perform material
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optimization of community PV systems, e-mobility, and edge data center integration at the Swiss pilot site hosted at Empa’s NEST demonstrator. The role involves coordinating the deployment and validation
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-matter interactions, development of automated AI/ML systems for novel materials processing and quality insurance. The lab combines additive manufacturing, large scale laser micro-processing, multiscale
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cutting edge research work, develop novel computational tools and integrate new strategies for the safe and sustainable use of chemicals and materials. Your tasks Large-scale data analysis, programming and
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specifically to XRD-PDF (pair distribution function). The project is linked to crystalline and amorphous alloys, and in an industrial context to process design by establishing the structure-property relationship
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) based DCS and develop a spectrometer with unprecedented spectral resolution, sensitivity, and speed. Together with our partners, we will apply this instrument to study the ro-vibrational nature of chiral