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move beyond conventional stimuli-responsive materials, which merely switch between predetermined states, toward life-like materials that genuinely learn: Forming memories, consolidating them over time
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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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), laser processing Skills: R&D manufacturing, software development (machine communication, data acquisition, etc.), hardware integration English, French and German as a plus Our offer Empa offers a dynamic
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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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laser platforms Conceptualization and setup of optical systems Hardware synchronization and data acquisition Conduction of experimental campaigns, evaluation of results and reporting Your profile PhD
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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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multidisciplinary field, and openness to learning new things. The PhD candidate needs to be proficient in spoken and written English and has a Master’s degree. We are offering a modern research environment and
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on responsibility, tackle new tasks and independently acquire the necessary expertise You have an open and communicative personality and enjoy working in a multidisciplinary environment Good oral and