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. Olga Fink ). IMOS develops advanced machine-learning and AI methods for complex engineering and industrial systems, with a particular focus on improving their reliability, availability, and operational
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machine-learning and AI methods for complex engineering and industrial systems, with a particular focus on improving their reliability, availability, and operational performance while enabling more
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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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datasets with multi-omics profiles of tumors from previous studies Developing new machine learning models through collaboration with the Swiss Data Science Centre Establishing data analysis pipelines
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the electrolyte exchange charge with solid booster materials held in the storage tanks, decoupling energy density from active-material solubility while preserving the modularity and safety of aqueous flow batteries
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, decoupling energy density from active-material solubility while preserving the modularity and safety of aqueous flow batteries. The performance of such batteries hinges on the solid booster formulation
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more energy-efficient. Recovery of critical metals: Developing processes to recover valuable metals such as lithium and cobalt from waste streams, enabling secure and sustainable material cycles. Your