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develop novel learning-based control and policy optimization techniques. We're looking for a skilled machine learning (ML) engineer to develop cutting-edge AI algorithms for digital twin applications in
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researchers across ETH accelerate their research with frontier AI. You will partner with research labs to understand their scientific challenges and co-develop agentic solutions: multi-step pipelines that plan
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the forefront of elastomeric materials development. We are looking for a highly motivated candidate with a strong background in synthetic organic and polymer chemistry, the ability to work in a
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, including purchasing, inventory management, equipment maintenance, and the organization of shared laboratory spaces and resources. Develop and maintain laboratory documentation, organization systems, and
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modeling, laboratory experiments, and theoretical analyses, we seek to link microscopic processes with the macroscopic behavior of both engineering and natural systems and develop predictive tools
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researcher to develop time-resolved imaging methods and apply them to semiconductor reliability problems. This is one of two postdoctoral positions opening in the group. This position focuses on time-resolved
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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researcher to develop time-resolved imaging methods and apply them to semiconductor reliability problems. This is one of two postdoctoral positions opening in the group. This position focuses on time-resolved
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tenure). They will also contribute to the coordination and supervision of examinations, as well as to the mentoring and supervision of students research work. Research The successful candidate will develop
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We offer you Financial Support The fellowship is primarily an educational, academic and clinical-development opportunity. A fixed salary cannot be guaranteed. However, selected candidates may be