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informatics, collaborating in an interdisciplinary team. Postdoctoral Researcher in the Development of Thin Films and Deposition Processes using Artificial Intelligence and Autonomous Experiments. Your tasks
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innovative deposition processes and high-throughput materials screening. The opportunity Contribute to groundbreaking research on accelerated thin-film and process development for emerging applications such as
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projects focusing on OLED science and chemical synthesis, providing an excellent opportunity for scientific exchange and collaboration across disciplines. Postdoctoral Researcher in organic light-emitting
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efficient and cost-effective maintenance. To advance the development of tabular foundation models for energy systems, we are seeking a highly motivated and skilled postdoctoral researcher. The project aims
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain. You will join an interdisciplinary SNSF Sinergia...
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performance while enabling more efficient and cost-effective maintenance. To advance the development of tabular foundation models for energy systems, we are seeking a highly motivated and skilled postdoctoral
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building of charge and ion transport processes in functional materials. Synthesis and processing of ceramic proton conductors, solid electrolytes and semiconductor photoelectrodes Structural characterization
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energy-related applications. Our research portfolio spans fundamental materials chemistry, process–structure–property relationships, and application-driven R&D, in close collaboration with academic and
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. Empa is a research institution of the ETH Domain. The group Multi-omics for Healthcare materials at Empa St. Gallen generates and integrates multi-modal biomedical datasets with the aim to inform
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Have very good lab skills Have preferably experience in the biomedical domain and in image processing Have preferably experience using ML models and tools (e.g. radiomics) in image processing and very