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free-electron laser (XFEL) facilities. The role will also involve sample preparation, and characterization using both standard lab-based methods (optical and scanning electron microscopy, magnetometry
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Thun explores the possibility of high throughput materials development. In the context of our Materials Vision Tech initiative, we focus on multi-element gradient thin film systems, i.e. their rapid
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methods for image classification including machine learning and deep learning. You will develop clear workflows that allow for regular update of the derived models and maps. Furthermore, you will work
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) methods applied to study hematopoiesis, such as drug administration via i.p, s.c. and i.v., blood sampling, bone marrow transplantation, tissue harvest and s.c. implantations, is highly recommended
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of disease-related biomarkers, and study of organ-on-a-chip. We develop microfluid, optical and electrochemical methods in combination with microorganisms and cells to provide solutions for environmental and
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evaporation, magnetron sputtering, spin-coating, photolithography, and plasma etching. Advanced optical and electronic methods will be used for device characterization. Job description The research activities
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2 PhD students work on developing lipid biomarkers for soil fertility. Propose your own research approaches to answer previously outlined research questions. Methods used in the group encompass a
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. Empa is a research institution of the ETH Domain. The Urban Energy Systems Laboratory (UESL) pioneers strategies, solutions, and methods to support the development of sustainable, resilient, and
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motivated Postdoctoral Researcher to join an applied research project focused on the development of AI/ML-based methods for the automation of laser processing techniques. In close collaboration with our
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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