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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
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100%, Zurich, fixed-term The ETH chair of Building Archaeology and Construction History at the Department of Architecture applies the methods of building archaeology (historische Bauforschung
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temporal scales - in both terrestrial and aquatic ecosystems, their origination and their response to global changes. To make these connections, we collect data through environmental DNA methods, remote
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includes, a.o.: Inventorying available data and calculation methods for building life-cycle carbon calculations at the urban scale Developing building life-cycle carbon calculator routines to estimate life
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means of CMOS-based high density microelectrode arrays (HD-MEAs). The overall goal of this project is to combine advanced optical methods for light-stimulus shaping with high-spatiotemporal-resolution
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of model federations to explore decarbonisation scenarios for Singapore. Your work will enable formally representing semantic domain knowledge, making it interoperable, and developing cross-domain features
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., git, AWS, etc) You are: Self-motivated and independent An experienced programmer, able to easily adopt new programming languages or software design methods for particular purposes. A good communicator
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effort in our laboratory to develop tools and methods to accelerate the development of new functional thin films. In addition to the work described above, you will have the chance to contribute to many
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analysis, and/or qualitative/quantitative methods. A demonstrated interest in topics pursued by the Chair team, such as knowledge creation, knowledge management, innovation processes, digital technology and