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particular focus on transferability across heterogeneous energy systems and datasets. Validate and benchmark the developed models using building measurements, physics-based simulations and energy-system
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energy systems and datasets. Validate and benchmark the developed models using building measurements, physics-based simulations and energy-system optimization models. Investigate how tabular foundation
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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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using synchrotron- and neutron-based spectroscopic techniques Development and validation of quantitative physical models describing charge transport, proton dynamics and electrochemical conversion Writing
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to develop image processing pipelines and models for the automated evaluation of 3D data sets towards answering clinical research questions. The project is highly interdisciplinary and is carried out in close
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development of new sensors, support nanoparticle-based cellular reprogramming strategies and identify new omics-based biomarkers. We work closely with clinical partners and we focus on deep understanding
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modelling and AI/ML for the quality monitoring/control, at the end offering to the society novel nanostructured materials, their shape-forming and integration into devices. Your tasks Operation of different
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of solid sorbents. Sorbent modelling and prediction of performance or ageing. Our offer We offer a stimulating, international, and collaborative research environment at a leading research institution with