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to study and predict. In this four-year SNF-funded project, you will develop data-driven, multiscale simulation methods that combine computer simulations, machine learning, and surrogate models to explore
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. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered. Where to apply Website https://academicpositions.com/ad/empa/2025/phd-position-in-data-driven
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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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Experience1 - 4 Research FieldComputer scienceYears of Research Experience1 - 4 Research FieldMedical sciencesYears of Research Experience1 - 4 Additional Information Website for additional job details https
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Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteEmpaCountrySwitzerlandCitySt. GallenPostal
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FieldEngineeringYears of Research Experience1 - 4 Research FieldEngineeringYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number
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Experience1 - 4 Research FieldEnvironmental scienceYears of Research Experience1 - 4 Research FieldTechnologyYears of Research Experience1 - 4 Additional Information Website for additional job details https
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FieldTechnologyYears of Research Experience1 - 4 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company
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development of electrochemical sensors detecting environmental pollutants, providing real-time information for effective management. Past and current work includes electrochemical sensors for airborne virus
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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