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thin films for emerging technologies. By combining state of the art physical vapor deposition, high throughput experimentation and data science, we develop thin films with enhanced performance and
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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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inverse and data-driven modeling, enabling quantitative interpretation and predictive design of complex magnetic systems.
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22 Apr 2026 Job Information Organisation/Company Empa Research Field Engineering » Materials engineering Physics » Computational physics Physics » Condensed matter properties Physics » Solid state
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of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating
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18 Apr 2026 Job Information Organisation/Company Empa Research Field Chemistry » Biochemistry Chemistry » Other Engineering » Biomedical engineering Engineering » Materials engineering
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processing (experimental planning, setup, measurements, analysis) Conceptualization and realization of novel setups (hardware integration, optical setups, etc.) Software development (data acquisition and
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2 Apr 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Computer science » Other Engineering » Chemical engineering Engineering » Materials engineering Engineering
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21 Feb 2026 Job Information Organisation/Company Empa Research Field Chemistry » Other Environmental science » Earth science Environmental science » Other Researcher Profile First Stage Researcher
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14 Mar 2026 Job Information Organisation/Company Empa Research Field Chemistry » Analytical chemistry Chemistry » Biochemistry Chemistry » Computational chemistry Chemistry » Inorganic chemistry