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of domain-specific data and knowledge. Develop new tabular foundation-model approaches where existing pre-trained models are insufficient, with a particular focus on transferability across heterogeneous
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, investigating efficient adaptation strategies and the use of domain-specific data and knowledge. Develop new tabular foundation-model approaches where existing pre-trained models are insufficient, with a
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improve high-throughput 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
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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
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the Rheintal project Integrate CCUS and industrial processes into the energy system models Assess the energy system towards different metrics and optimization objectives such as cost and CO2 emissions Coordinate
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experience in programming and operating laboratory automation and liquid-handling systems, as well as in related quality management Experience in adapting and optimizing cell-based and in vitro assays
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. The laboratory conducts, develops and optimizes processes for renewable fuels. The group “Hydrogen Spectroscopy” is further involved in hydrogen science & technology such as power-to-gas, membrane science and