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dedicated researcher with a PhD in mathematics, electrical or mechanical engineering, computer science or a related field, and a strong methodological background in machine learning. The ideal candidate has
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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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19 Sep 2026 Job Information Organisation/Company Empa Research Field Chemistry » Inorganic chemistry Chemistry » Other Engineering » Electrical engineering Engineering » Materials engineering
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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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experimentalist holding a PhD in physics, chemistry or materials science, with a strong background in solid-state electrochemistry and/or semiconductor photoelectrochemistry. A genuine interest in the fundamental
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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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5 Sep 2026 Job Information Organisation/Company Empa Research Field Chemistry » Analytical chemistry Chemistry » Other Engineering » Materials engineering Technology » Energy technology Researcher
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and highly interdisciplinary research environment, bringing together expertise in theory, nanoparticle science, OLED technology, and organic chemistry. You will work closely with two ongoing PhD