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product quality attributes, such as remaining shelf life. Process measured sensor data of commercial cold chains, analyze data for variability, and reformat data in databases. Use the simulation-based
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property analysis, sorting, and grading. Contribute to the TIMBERHAUS project by applying advanced image processing and AI methods for timber quality assessment. Integrate experimental data with
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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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engineering applications. Empa's Centre for X-ray Analytics develops X-ray analytical and imaging methods for understanding materials structure in material, life- and medical sciences. This is a joint PhD
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systems Practical experience with polymer processing or biomedical testing is an advantage You enjoy interdisciplinary teamwork and are motivated to advance translational research at the interface
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of ceramic powder and the densification using the cold sintering processing method. The focus of the project is the development ferroelectric lead free ceramics sintered below 500°C and the analysis
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enrolled at ETH Zürich, with Prof. Salvador Pané i Vidal as academic supervisor (Department of Mechanical and Process Engineering, D-MAVT). You will be employed at Empa in St. Gallen full-time for three
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deep learning, signal processing, statistics, or learning theory. Knowledge of energy systems, multi-energy infrastructures, or urban energy applications is a strong asset. You are self-driven, creative
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. Postdoc position on self-healing strategies for lithium-ion batteries Your tasks Develop lithiation agents to recover lost active lithium during operation of the battery Develop electrochemical protocols
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and additives Optimize melt-spinning, uniaxial stretching, and post-treatment steps to control sheath porosity and ion diffusion Acquisition of research grants and writing of scientific publications