21 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at Empa
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of Zurich and Wageningen University & Research. The four-year STEPS project focusses on developing data-driven and machine learning methods to monitor CO2 and NOx emissions using the upcoming satellite
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood
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of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Research FieldTechnologyYears of Research Experience4 - 10 Additional Information Website for additional job details https
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models and in vitro assays. Experience in phototherapy, programming and large data analysis is a plus. Excellent communication skills and fluency in English (written and oral). Our offer The project is
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lab models for evaluating coating stability, durability, and antimicrobial efficacy Integration of coating and biological performance data to guide optimization of multifunctional coatings. Your profile
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. Empa is a research institution of the ETH Domain. Our Laboratory for Advanced Fibers in St. Gallen develops functional polymer fibers for medical and technical applications. Together with partners
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quality journals Personal and professional development support You will be based at Empa in St. Gallen (Claudia Som, principal supervisor, Dr. Roland Hischier and Prof. Dr. Bernd Nowack, co-supervisors) and
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Laboratory is located in St. Gallen at the Swiss Federal Laboratories for Materials Science and Technology (Empa). Our team is highly interdisciplinary and international, providing an inspiring environment
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-based optimization, enabling autonomous measurement campaigns and real-time data assimilation. This research combines fluid mechanics, artificial intelligence, and robotics to establish the foundation
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Characterize aerogel and aerogel composites Compile, analyze, and critically interpret experimental data Contribute to patent applications with support from the team For up to 20% of your time, contribute