19 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Plymouth" positions at Empa
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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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Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteEmpaCountrySwitzerlandCityDübendorfPostal Code8600StreetUeberlandstrasse
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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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Ph.D. Position in Organic Chemistry, Polymer Chemistry, and/or Sol–Gel Chemistry & Materials Science
FieldChemistryYears 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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Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteEmpaCountrySwitzerlandCityDübendorfPostal
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of Research Experience4 - 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company
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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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- 10 Additional Information Website for additional job details https://academicpositions.com Work Location(s) Number of offers available1Company/InstituteEmpaCountrySwitzerlandCitySt. GallenPostal
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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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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