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building measurements , physics-based simulations and energy-system optimization models. Investigate how tabular foundation models can support energy-system modelling and optimization , including
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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combining state-of-the-art machine learning with physicochemical knowledge and molecular modeling. Representative publications from our group include: https://doi.org/10.1038/s41467-025-63947-5 https
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across disciplines. Your tasks Fabrication, optimization, and characterization of NIR-emitting OLED devices Close collaboration and active scientific exchange with project partners Analysis, interpretation
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optimal T-cell expansion protocols. In close collaboration with the lab of George Coukos ( https://agora-cancer.ch/laboratory/coukos-lab/ ), we will derive protocols enabling rapid expansion of cancer
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characterization of advanced MEMS probes for cryo- SPM Development and optimization of wafer-scale micro- and nanofabrication processes, including integration of sensing, actuation and electrical
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optimization English, French and German as a plus Our offer Empa offers a dynamic and inspiring research environment at its Thun campus, located near Bern. You will work on a scientifically and
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experimental workflows including closed-loop thin-film optimization Apply AI and Machine Learning for data analysis and modelling Develop, improve and implement HW/SW concepts and components to automate