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are to develop highly efficient piezoelectric thin films, but also to leverage large data sets to improve our fundamental understanding of the synthesis-structure-property relationships in these polar nitride
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tomorrow. Where to apply Website https://academicpositions.com/ad/eth-zurich/2026/phd-position-computer-simulati… Requirements Research FieldEngineeringYears of Research Experience1 - 4 Research
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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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storage, compression, and transfer systems suitable for large, long-duration experiments. • Build complete, user-friendly data-analysis workflows from preprocessing through visualization, and train
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journey, from the collection and management of data to machine learning, AI, and industrialization. With a large multidisciplinary team of professionals across three locations (Lausanne, Zurich, Villigen
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… Requirements Additional Information Website for additional job details https://www.myscience.ch/jobs Work Location(s) Number of offers available1Company/InstituteUniversität
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Experience1 - 4 Research FieldMathematicsYears of Research Experience1 - 4 Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Website for additional job details https
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description You will support the TreeAI global initiative by developing data driven methods to enhance large scale tree monitoring. The role focuses on managing and expanding the TreeAI database and advancing
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Intern to support the development, benchmarking, and large-scale profiling of 3D cancer models within our multidisciplinary team. The ideal candidate is enthusiastic about experimental work, data-driven
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judiciary Have experience with large language models, information retrieval, evaluation of ML systems, and deploying applications; this is highly desirable Have an excellent command of English; German