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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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-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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to reduce greenhouse gas emissions and achieve net-zero targets. PhD position in Data-driven monitoring of CO2 and NOx emissions from space Your tasks Simulate emission plumes from point sources using
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quantification. Apply your methods to real satellite data from missions like CO2M and TANGO. Present your findings at international conferences and publish them in peer-reviewed journals. Complete a PhD thesis at
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27 Jan 2026 Job Information Organisation/Company ETH Zürich Research Field Chemistry » Other Engineering » Biomedical engineering Engineering » Chemical engineering Medical sciences » Other
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and coordinate generation of new datasets for the scientific problems of interest. Analyse the data, write scientific manuscripts and present results at international conferences. Your profile Required
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. Empa is a research institution of the ETH Domain. To strengthen our team and enhance our knowledge and understanding in pyrolysis processes we are looking for a PhD student for scientific analysis
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/phd-position-in-immun… Requirements Research FieldBiological sciencesYears of Research Experience1 - 4 Research FieldMedical sciencesYears of Research Experience1 - 4 Additional Information Website
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15 Jan 2026 Job Information Organisation/Company Paul Scherrer Institut Villigen Research Field Physics » Condensed matter properties Researcher Profile First Stage Researcher (R1) Positions PhD
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the data. Job description This PhD project focuses on developing learning-based strategies for accelerated data acquisition, physics-informed image reconstruction, and quantitative inference